Suicide is a complex act whose meanings, while sometimes tragic, vary widely. This chapter surveys the ethical landscape surrounding algorithmic methods of suicide prevention especially as it pertains to social media activity and to the moderation of online suicide communities. We begin with a typology of suicide, distinguishing between varied goals in which suicide may factor as a means. Suicides should be understood as an act with varied eliciting desires, meanings, consequences, and ethics. Further,while (...) many suicides may be grounded on irrational desire, we argue that a desire to suicide may nonetheless be rational in some cases. We then offer a survey of the attempts by social media corporations to create suicide prediction algorithms and launch interventions aimed at preventing suicide as well as an overview of the current ethical debate. We argue that the values embedded within algorithmic suicide prevention nudges are “thick” in a substantive sense and deserving of scrutiny. Given that debates about the rationality, meaning, and permissibility of suicide are common and subject to intracultural and cross-cultural differences, we maintain that the task of suicide prediction is ill-suited to algorithmic approaches. Despite an algorithm’s ability to quantify a complex phenomenon like suicide risk and its appearance of objectivity, any suicide prediction algorithm is thoroughly subjective and involves moral judgments all the way down. Any such algorithm would necessarily impose a normative stance on suicide onto its user base that is subject to reasonable intra and cross-cultural disagreement. (shrink)

The target article by Laacke et al. focuses on the specific context of identifying people in social media with a high risk of depression by using artificial intelligence technologies. I...

As suicide rates increase worldwide, the mental health industry has reached an impasse in attempts to assess patients, predict risk, and prevent suicide. Traditional assessment tools are no more accurate than chance, prompting the need to explore new avenues in artificial intelligence (AI). Early studies into these tools show potential with higher accuracy rates than previous methods alone. Medical researchers, computer scientists, and social media companies are exploring these avenues. While Facebook leads the pack, its (...) efforts stem from scrutiny following suicides and suicide attempts broadcasted on Facebook Live. The company continues to face scrutiny for ethical, privacy, and safety concerns associated with the quick rollout of proprietary AI technology that seems more focused on the optics of the company than the protection of its billions of users. This paper explores some of these issues, including a lack of transparency, questionable data practices, escalation to law enforcement, little to no regulation, potential for bias, increased viewership of troubling content, and worsening thoughts of suicide among vulnerable Facebook users. Despite AI tools showing promise in improving the accuracy of suicide risk predictions over traditional methods, without regulation, external review, and increased protection of users and data, these tools have the potential to cause more harm than good in the hands of powerful companies like Facebook. (shrink)

The potential for artificial intelligences and robotics in achieving the capacity of consciousness, sentience and rationality offers the prospect that these agents have minds. If so, then there may be a potential for these minds to become dysfunctional, or for artificial intelligences and robots to suffer from mental illness. The existence of artificially intelligent psychopathology can be interpreted through the philosophical perspectives of mental illness. This offers new insights into what it means to have either (...) robot or human mental disorders, but may also offer a platform on which to examine the mechanisms of biological or artificially intelligent psychiatric disease. The possibility of mental illnesses occurring in artificially intelligent individuals necessitates the consideration that at some level, they may have achieved a mental capability of consciousness, sentience and rationality such that they can subsequently become dysfunctional. The deeper philosophical understanding of these conditions in mankind and artificial intelligences might therefore offer reciprocal insights into mental health and mechanisms that may lead to the prevention of mental dysfunction. (shrink)

Laacke et al. describe the emergence of novel analytical tools—artificial intelligence depression detectors —that employ artificial intelligence to predict depression. The authors the...

The development of artificial intelligence (AI) in medicine raises fundamental ethical issues. As one example, AI systems in the field of mental health successfully detect signs of mental disorders, such as depression, by using data from social media. These AI depression detectors (AIDDs) identify users who are at risk of depression prior to any contact with the healthcare system. The article focuses on the ethical implications of AIDDs regarding affected users’ health-related autonomy. Firstly, it presents the (...) (ethical) discussion of AI in medicine and, specifically, in mental health. Secondly, two models of AIDDs using social media data and different usage scenarios are introduced. Thirdly, the concept of patient autonomy, according to Beauchamp and Childress, is critically discussed. Since this concept does not encompass the specific challenges linked with the digital context of AIDDs in social media sufficiently, the current analysis suggests, finally, an extended concept of health-related digital autonomy. (shrink)

Psychiatric research often poses special ethical concerns. This chapter first provides historical context, including scandals that stoked public concern about psychiatric research and led to the promulgation of canonical documents and bioethics scholarship, and then explores issues related to the decision-making capacity and safety of participants—including the use of placebos and washout periods, the design of suicide prevention studies, and research in emergency psychiatry. The chapter then describes how shifting models of psychiatric nosology have precipitated conflicts in the determination (...) of research priorities. Finally, the chapter attends to emerging issues related to research in psychedelic psychiatry and the use of artificial intelligence and social media by investigators. (shrink)

Artificial Intelligence (AI) is predicted to have a deep impact on the future of work and employment. The paper outlines a normative framework to understand and protect human freedom and justice in this transition. The proposed framework is based on four main ideas: going beyond the idea of a Basic Income to compensate the losers in the transition towards AI-driven work, towards a Responsible Innovation approach, in which the development of AI technologies is governed by an inclusive and deliberate (...) societal judgment; going beyond a philosophical conceptualisation of social justice only focused on the distribution of ‘primary goods’, towards one focused on the different goals, values, and virtues of various social practices (Walzer’s ‘spheres of justice’) and the different individual capabilities of persons (Sen’s ‘capabilities’); going beyond a classical understanding of capital, towards one explicitly including mental capacities as a source of value for AI-driven activities. In an effort to promote an interdisciplinary approach, the paper combines political and economic theories of freedom, justice and capital with recent approaches in applied ethics of technology, and starts applying its normative framework to some concrete example of AI-based systems: healthcare robotics, ‘citizen science’, social media and platform economy. (shrink)

Since the middle of the 20th century, suicidology, as a group of disciplines working to understand and prevent suicide, has reinforced the long-held view that suicide is caused first and foremost b...

Photo ID 71252867© Stepan Popov| Dreamstime.com Abstract While Medical Assistance in Dying (MAiD) has been legalized in Canada since 2016, it still excludes eligibility for persons who have mental illness as a sole underlying medical condition. This temporary exclusion was set to expire on March 17th, 2024, but was set 3 years further back by the Government of Canada to March 17th, 2027. This paper presents a critical appraisal of the case of MAiD for individuals with mental illness (...) as the sole underlying medical condition through the analysis of three ethical theories: principlism, deontology, and utilitarianism. Through evidence and discussion, it will be demonstrated that MAiD, in this context, may be ethically justifiable on the grounds of upholding human rights, protecting dignity, and minimizing suffering. Introduction In June of 2016, Medical Assistance in Dying (MAiD) was legalized in Canada.[1] Throughout the first six years, a temporary exclusion of eligibility for persons suffering solely from mental illness was extended.[2] The exclusion of mental illness as a sole underlying medical condition was set to expire on March 17, 2024.[3] However, on February 1, 2024, just over a month before the set expiration, the Government of Canada once again extended the exclusion, this time setting it back three years to March 17, 2027. There are currently several countries that allow MAiD for mental illness, including Belgium, the Netherlands, and Luxembourg.[4] Some countries, like Spain,[5] do not give specific guidance, leaving the matter under discussion by ethicists and courts. In these countries, there are specific (although different) requirements for the process; overall, for mental illness, the illness must be verifiable and not simply related to a perception of satisfaction with the length of life. This extension ignited discussion on whether MAiD for persons who have mental illness as a sole underlying medical condition in Canada is ethically acceptable. As a complex, multi-faceted, and interdisciplinary issue, ethicists assessing MAiD must take into account various moral obligations and considerations. This paper analyses MAiD in this context through the application of three ethical theories: principlism, deontology, and utilitarianism. This paper concludes that, based on the current evidence and knowledge of this developing situation, MAiD for persons with mental illness in Canada may be ethically justified on the grounds of upholding human rights, labour obligations, and dignity. Through the exploration of research and discussions, it will be demonstrated that society at large ought to protect liberty and act towards relieving suffering, thereby supporting the potential eligibility of MAiD for persons who have mental illness. Principlism: The Capacity and Ability to Assess and Decide for One’s Own Life Principlism is the application of four principles: autonomy, beneficence, non-maleficence, and justice. Principlism supports permitting MAiD for mental illness due to the importance of autonomy in decision-making, equitable and just practices for MAiD assessors, and reducing suffering for patients and their family member(s) and/or friend(s). Carter v. Canada, the Canadian Supreme Court ruling of 2015—which changed Canadian law to allow for MAiD—held that the prohibition of MAiD infringed on Canadians’ right to “life, liberty, and the security of the person.” In a unanimous decision, the Supreme Court of Canada decided that the criminal prohibition of MAiD violates the Canadian Charter of Rights and Freedoms.[6] The Court concluded that the criminal law prohibiting MAiD interfered with people’s autonomy and dignity, which are protected by the rights of liberty and security of the person.[7] The ruling emphasized that Canada’s constitution reflects the fundamental importance of individual autonomy in personal decision-making. Research provides evidence that MAiD improves autonomy: A study among psychiatric patients found that 8 of 48 psychiatric patients said the mere option of accessing MAiD was enough to assess their future options for living wholly.[8] These findings complement a study entailing interviews with 30 adults who have mental illness, which emphasized that the ability to access MAiD allows individuals to analyze their quality of life, envision their desired future, and make decisions accordingly.[9] Although not all participants agreed that mental illness as the only underlying medical condition was appropriate for MAiD eligibility, many participants agreed that patient autonomy in decision-making was paramount and should be respected. However, autonomy as an ethical principle does not immediately grant all persons with mental illness the option to access MAiD. There are multiple eligibility criteria for those who wish to receive MAiD, which still must be approved and assessed. Currently, eligibility criteria for MAiD states that individuals must “give informed consent to receive MAiD, meaning that the person has consented to receiving MAiD after they have received all information needed to make this decision.”[10] Consent requires capability or capacity, which is the ability to understand relevant information, appreciate its potential consequences, and make an informed decision for oneself.[11] Like for many other diseases, disabilities, and conditions, patient capability is determined on a case-by-case basis.[12] Given the stigma surrounding those struggling with mental health, this thorough case-by-case examination of an individual patient’s capability and capacity without prejudice or partiality should lead to equitable and fair treatment. Without appropriate testing, those with mental illness could be wrongly stripped of their decision-making power. Arguments against MAiD for those with mental illness have raised concerns about the potential for individuals to harm themselves and others. A survey of MAiD providers demonstrated that physicians believed that the bereavement experience following MAiD is challenging and profoundly distinct and that bereavement support for all members involved should be required.[13] However, while watching one die (of MAiD) may cause harm to their families, friends, and support system at large, it is also important to recognize that watching someone suffer and struggle through their mental health journey also poses significant harm. Qualitative studies in Ontario, Canada, have interviewed family members of persons with mental illness as a sole medical condition, and interviewees shared that witnessing the illness and its impacts on their close one's lives was a very difficult experience.[14] As it relates to MAiD, participants emphasized that those living with mental illness are in the best position to understand their own pain and suffering and, in turn, make their own decisions about relief.[15] In an interview, a MAiD provider stated that MAiD may provide less suffering and more peace, and that, although it “depends on the family,... usually the family is more prepared and at peace.”[16] On the contrary, a person who has mental illness may perceive choosing MAiD as beneficial to their family member(s) and/or friend(s). Among those who died by MAiD in 2021, 35.7 percent reported that they perceived themselves as a burden on their family and friends.[17] While some authors report their concerns regarding such social burden as a potential driving factor for MAiD requests, others report that there are other additional burdens associated with requesting MAiD that may be financial, societal, and personal.[18] As such, the extension of MAiD eligibility to those with mental illness will likely only allow a small number of people to be granted MAiD.[19] Many others will be diverted to appropriate services and treatments. Patients’ decision to choose MAID noted their ability to make choices about their own care, reflecting the value of autonomy.[20] Although it is difficult to determine what is good for families in individual cases, MAiD presents an option that is both beneficent and non-maleficent. Therefore, these arguments satisfy the principles which do not necessarily conflict with MAiD. Deontology: The Duty to Recognize Vulnerability and Relieve Suffering The argument here begins with the fundamental focus of deontology—that moral duty lies in an action rather than in its consequences. Further discussion is required to analyze the impact of MAiD on healthcare workers. The Canadian Medical Association (CMA) Code of Ethics and Professionalism requires physicians to abide by virtues, commitments, and responsibilities in delivering health care and service.[21] The code states that “a compassionate physician recognizes suffering and vulnerability, … and alleviate[s] the patient’s suffering.”[22] In the context of MAiD for persons with mental illness as a sole underlying medical condition, vulnerabilities could be wide in range. Many Canadians are concerned with the interaction between mental health and other social determinants of health, such as the lack of medical, disability, financial, housing, and social support and resources.[23] As a result, another layer to the ethical issue arises: Does permitting MAiD for mental illness treat the symptoms of the issue rather than the root problem itself (social, economic, and systemic inequities)? Some argue against MAiD, stating that the nation should first focus on developing better quality care and service.[24] Others support MAiD as a potential harm reduction approach, given that most of these unjust conditions require a higher level of long-term structural and public policy overhaul.[25] The CMA Code also calls upon physicians to recognize and alleviate patients’ suffering. Some argue that while physicians and medical professionals do work to relieve suffering, they are trained to do so through a primary care-based diagnose-and-treat approach.[26] Studies that have captured Canadian physicians’ experiences providing MAiD report that, although physicians stated that the work was rewarding, it came with many challenges, including strained relationships with coworkers, increased workload, and inadequate compensation.[27] Physicians report that a part of the problem is that MAiD rules are written by lawyers and experts who are removed from its reality in medical practice. As a result, there is a lack of clarity surrounding practice norms and a lack of support for physicians.[28] Thus, while healthcare practitioners have a duty to relieve patients’ suffering, they should feel adequately trained and supported in doing so. If physicians and healthcare professionals recognize vulnerability and relieve suffering, then they should act accordingly, regardless of potential associations or outcomes. Making persons with mental illness eligible for MAiD ensures that treatment to relieve their suffering is available. However, it is imperative that there are sufficient resources and support available to healthcare professionals to ensure that they feel prepared and supported to provide MAiD, should they wish to do so. Utilitarianism: Minimizing Intolerable Suffering and Dying with Dignity Overall, utilitarianism is largely concerned with the greatest happiness principle—to increase the amount of happiness for the greatest number of people. So far, this paper has analyzed individual, family, and practitioner-based ethical considerations. But if MAiD were to be extended to those with mental illness as a singular underlying medical condition, what implications would this have for the world and society at large? There is a global drive toward authorizing organized ending of life, with an increasing number of countries legalizing MAiD.[29] The medical system is generally seen as a safe and appropriate system to carry out MAiD, especially when suicide and self-harm are regarded as “alternatives.” Yet despite these worldwide efforts, many argue through the theory of utilitarianism that the inability to see long-term consequences renders MAiD a premature solution, particularly for those who are unable or unwilling to seek other forms of potentially healing treatment or for those who may undergo MAiD only for a technological innovation or biomedical advancement to later come along as a potential cure.[30] While it is true that MAiD does not prevent these “premature deaths,” it is also true that it does not claim to.[31] MAiD provides an option to alleviate intolerable suffering. Some individuals with severe mental illness do describe their condition as intolerable suffering. MAiD is seen as an option to minimize suffering. It can also be seen as a way to die with dignity and relief.[32] While predicting outcomes is difficult, extending MAiD eligibility for persons experiencing mental illness does not undermine its ability to end suffering. It allows eligible individuals to take charge of their health, their life, and their future. Conclusion Based on the current evidence, allowing MAiD for persons with mental illness as their sole underlying medical condition presents as an ethically justifiable action. The right to self-determination and fair accessibility demonstrates that there is more harm done by prohibiting MAiD for mental illness than allowing it. Such liberty is a right, and in the context of relieving suffering, it is a duty that healthcare workers must uphold, although the ability to opt out of providing MAiD is well established. Thus, to recognize vulnerability and relieve suffering means to provide methods, such as MAiD, for those deeply impacted by mental illness. These justifications stand at both the individual level and for society at large. Nevertheless, it remains imperative to take an upstream approach that addresses the social determinants of health and aims to prevent mental illness and promote long-term, beneficial social change for those suffering, struggling, and vulnerable in our communities. - [1] Jaro Kotalik and David W. Shannon, Medical Assistance in Dying (MAID) in Canada Key Multidisciplinary Perspectives, 1st ed. 2023., The International Library of Bioethics, 104 (Cham: Springer International Publishing, 2023), https://doi.org/10.1007/978-3-031-30002-8. [2] Department of Justice Government of Canada, “Canada’s Medical Assistance in Dying (MAID) Law,” February 21, 2024, https://www.justice.gc.ca/eng/cj-jp/ad-am/bk-di.html. [3] Health Canada, “Final Report of the Expert Panel on MAiD and Mental Illness,” transparency - other, May 13, 2022, https://www.canada.ca/en/health-canada/corporate/about-health-canada/public-engagement/external-advi sory-bodies/expert-panel-maid-mental-illness/final-report-expert-panel-maid-mental-illness.html. [4] Federal Public Service (FPS) Health Belgium, “Federal Commission for the Control and Evaluation of Euthanasia,” n.d., https://consultativebodies.health.belgium.be/en/advisory-and-consultative-bodies/federal-commission- control-and-evaluation-euthanasia.; Government of Netherlands, “Is Euthanasia Allowed in the Netherlands?,” n.d., https://www.government.nl/topics/euthanasia/is-euthanasia-allowed.; “Information on Requesting Euthanasia or Assisted Suicide,” n.d., https://guichet.public.lu/en/citoyens/sante/fin-vie/euthanasie/euthanasie-assistance-suicide.html. [5] Luis Espericueta, First official report on euthanasia in Spain: A comparison with the Canadian and New Zealand experiences, Medicina Clínica (English Edition), Volume 161, Issue 10, 2023, Pages 445-447, ISSN 2387-0206, https://doi.org/10.1016/j.medcle.2023.06.021. [6] Government of Canada, “The Canadian Charter of Rights and Freedoms,” March 15, 2021, https://www.justice.gc.ca/eng/csj-sjc/rfc-dlc/ccrf-ccdl/. [7] Supreme Court of Canada, “Carter v. Canada,” Constitutional Law, 2015, https://scc-csc.lexum.com/scc-csc/scc-csc/en/item/14637/index.do.; Kotalik and Shannon, Medical Assistance in Dying (MAID) in Canada Key Multidisciplinary Perspectives. [8] Karandeep Sonu Gaind, “What Does ‘Irremediability’ in Mental Illness Mean?,” Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie 65, no. 9 (September 2020): 604–6, https://doi.org/10.1177/0706743720928656; Lieve Thienpont et al., “Euthanasia Requests, Procedures and Outcomes for 100 Belgian Patients Suffering from Psychiatric Disorders: A Retrospective, Descriptive Study,” BMJ Open 5, no. 7 (July 27, 2015): e007454, https://doi.org/10.1136/bmjopen-2014-007454. [9] Hamer Bastidas-Bilbao et al., “Walking Alongside: Views of Family Members on Medical Assistance in Dying for Mental Illness as the Sole Underlying Medical Condition,” Qualitative Health Research 33 (September 29, 2023), https://doi.org/10.1177/10497323231197365. [10] Government of Canada, “Canada’s Medical Assistance in Dying (MAID) Law.” [11] Commission sur les soins de fin de vie, “Les conditions de l’admissibilité à l’aide médicale à mourir au Québec: la constance dans l’évolution de la loi concernant les soins de fin de vie,” June 9, 2023, https://csfv.gouv.qc.ca/ fileadmin/docs/autres_rapports/csfv_lcsfv_conditions_ amm_2023-06-29.pdf.; Trudo Lemmens, “When Death Becomes Therapy: Canada’s Troubling Normalization of Health Care Provider Ending of Life,” The American Journal of Bioethics 23, no. 11 (November 2, 2023): 79–84, https://doi.org/10.1080/15265161.2023.2265265. [12] Justine Dembo, Udo Schuklenk, and Jonathan Reggler, “‘For Their Own Good’: A Response to Popular Arguments Against Permitting Medical Assistance in Dying (MAID) Where Mental Illness Is the Sole Underlying Condition,” Canadian Journal of Psychiatry. Revue Canadienne De Psychiatrie 63, no. 7 (July 2018): 451–56, https://doi.org/10.1177/0706743718766055. [13] Konia Trouton et al., “Attitudes and Expectations Regarding Bereavement Support for Patients, Family Members, and Friends: Findings from a Survey of MAID Providers,” British Columbia Medical Journal 62, no. 1 (2020). [14] Bastidas-Bilbao et al., “Walking Alongside.” [15] Bastidas-Bilbao et al. [16] Trouton et al., “Attitudes and Expectations Regarding Bereavement Support for Patients, Family Members, and Friends: Findings from a Survey of MAID Providers,” 2020. [17] Ramona Coelho et al., “The Realities of Medical Assistance in Dying in Canada,” Palliative & Supportive Care 21, no. 5 (October 2023): 871–78, https://doi.org/10.1017/S1478951523001025; Health Canada, “Third Annual Report on Medical Assistance in Dying in Canada 2021,” report on plans and priorities;transparency - other, July 26, 2022, https://www.canada.ca/en/health-canada/services/publications/health-system-services/annual-report-me dical-assistance-dying-2021.html; Lemmens, “When Death Becomes Therapy.” [18] Coelho et al., “The Realities of Medical Assistance in Dying in Canada,” October 2023.; Bastidas-Bilbao et al., “Walking Alongside.” [19] Olivia Stefanovich, “Opposition Parties Call for Indefinite Pause to MAID Expansion for Mental Illness | CBC News,” Canadian Broadcasting Corporation, January 28, 2024, https://www.cbc.ca/news/politics/special-joint-committee-maid-mental-illness-report-1.7095679; Benjamin Lopez Steven, “Number of Assisted Deaths Jumped More than 30 per Cent in 2022, Report Says | CBC News,” Canadian Broadcasting Corporation, October 27, 2023, https://www.cbc.ca/news/politics/maid-canada-report-2022-1.7009704. [20] Hamer Bastidas-Bilbao et al., “Searching for Relief from Suffering: A Patient-Oriented Qualitative Study on Medical Assistance in Dying for Mental Illness as the Sole Underlying Medical Condition,” Social Science & Medicine 331 (August 1, 2023): 116075, https://doi.org/10.1016/j.socscimed.2023.116075. [21] Canadian Medical Association, “Canadian Medical Association Code of Ethics and Professionalism” (Canada: Canadian Medical Association, December 8, 2018), https://policybase.cma.ca/link/policy13937. [22] Canadian Medical Association. [23] Coelho et al., “The Realities of Medical Assistance in Dying in Canada,” October 2023; Stefanovich, “Opposition Parties Call for Indefinite Pause to MAID Expansion for Mental Illness | CBC News.” [24] John Paul Tasker, “Liberal Government Promoting a ‘culture of Death’ with Medical Assistance in Dying Law, Conservative MP Says | CBC News,” Canadian Broadcasting Corporation, March 6, 2023, https://www.cbc.ca/news/politics/culture-of-death-medical-assistance-in-dying-mental-illness-1.6769504. [25] Coelho et al., “The Realities of Medical Assistance in Dying in Canada,” October 2023; Kayla Wiebe and Amy Mullin, “Choosing Death in Unjust Conditions: Hope, Autonomy and Harm Reduction,” Journal of Medical Ethics, April 26, 2023, https://doi.org/10.1136/jme-2022-108871. [26] Ramona Coelho et al., “The Realities of Medical Assistance in Dying in Canada,” Palliative & Supportive Care 21, no. 5 (October 2023): 871–78, https://doi.org/10.1017/S1478951523001025. [27] Konia Trouton et al., “Attitudes and Expectations Regarding Bereavement Support for Patients, Family Members, and Friends: Findings from a Survey of MAID Providers,” British Columbia Medical Journal 62, no. 1 (2020), https://bcmj.org/articles/attitudes-and-expectations-regarding-bereavement-support-patients-family-m embers-and.; William Robert Nielsen, “MAiD in Canada: Ethical Considerations in Medical Assistance in Dying,” Canadian Journal of Bioethics 4, no. 2 (December 9, 2021): 93–98, https://doi.org/10.7202/1084456ar. [28] Coelho et al., “The Realities of Medical Assistance in Dying in Canada,” October 2023. [29] Lemmens, “When Death Becomes Therapy.” [30] William Robert Nielsen, “MAiD in Canada: Ethical Considerations in Medical Assistance in Dying,” Canadian Journal of Bioethics 4, no. 2 (December 1, 2021): 93–98, https://doi.org/10.7202/1084456ar. [31] Steven, “Number of Assisted Deaths Jumped More than 30 per Cent in 2022, Report Says | CBC News.” [32] A. Plaisance et al., “Quebec Population Highly Supportive of Extending Medical Aid in Dying to Incapacitated Persons and People Suffering Only from a Mental Illness: Content Analysis of Attitudes and Representations,” Ethics, Medicine and Public Health 21 (April 1, 2022): 100759, https://doi.org/10.1016/j.jemep.2022.100759. (shrink)

Traditional notions of crime control often position the police against an individual, known or not yet known, who is responsible for the commission of a crime. However, with increasingly sophisticated technology, policing increasingly prioritizes the prevention of crime, making it necessary to ascertain who, or what class of persons, may be the next likely criminal before a crime can be committed, termed predictive policing. This causes a shift from individualized suspicion toward predictive profiling that may sway the expectations of a (...) police patrol. Classically, where a patrol officer forms reasonable suspicion prior to a stop, it is based upon his/her analysis of the situation taken as a whole in context. However, where a predictive profile is employed, information available to the officer accordingly adjusts his/her perception of context and affects the application of the reasonable suspicion standard. This article addresses the way in which new approaches to forming reasonable suspicion affect the due process protection of individuals’ fundamental rights. It argues that while an officer still operates with good faith discretion, using predictive profiling causes reasonable suspicion to be based on an augmented understanding of reality and as a result, due process guarantees are weakened. The rights to non-discrimination and the presumption of innocence are assessed and argued as illustrative of this weakening and shift in policing standards. The article ultimately argues that while predictive policing cannot be categorically labeled as inconsistent with criminal justice, changes as seemingly moderate as the manner in which discretion operates have larger effects on individuals’ rights. (shrink)

The impediment of individuals affected by mental illness at risk of suicide is well justified. But the impediment to rational suicide is complicated by the conflict between defending life and defending autonomy, as illustrated by the various philosophical approaches to the ethical dimension of suicide. In this article we argue that, insofar as punctual in nature and limited in scope, paternalistic intervention of the autonomous individual is also justified. To do so, we will use the distinction (...) between shallow and deep autonomy, as well as complicating factors from recent medical literature: the question of ambivalence and the cry for help model. We will also pay special attention to the ethical implications of new strategies for risk detection that use artificial intelligence applied to social network databases like Facebook. Although preliminary evidence suggests these are effective tools, their lack of transparency, regulation and consent puts civil liberties and rights at risk. (shrink)

Suicide is amongst the top ten causes of death for all age groups in most countries of the world. It is the second most important cause of death in the younger age group (15-19 yrs.) , second only to vehicular accidents. Attempted suicides are ten times the successful suicide figures, and 1-2% attempted suicides become successful suicides every year. Male sex, widowhood, single or divorced marital status, addiction to alcohol ordrugs, concomitant chronic physical or mental illness, past (...) suicidal attempt, adverse life events, staying in lodging homes or staying alone, or in areas with a changing population, all these conditions predispose people to suicides. The key factor probably is social isolation. An important WHO Study established that out of a total of 6003 suicides, 98% had a psychiatric disorder. Hence mental health professionals have an important role to play in the prevention and management of suicide. Moreover, social disintegration also increases suicides, as was witnessed in the Baltic States following collapse of the Soviet Union. Hence, reducing social isolation, preventing social disintegration and treating mental disorders is the three pronged attack that must be the crux of any public health programme to reduce/prevent suicide. This requires an integrated effort on the part of mental health professionals (including crisis intervention and medication/psychotherapy), governmental measures to tackle poverty and unemployment, and social attempts to reorient value systems and prevent sudden disintegration of norms and mores. Suicide prevention and control is thus a movement which involves the state, professionals, NGOs, volunteers and an enlightened public. Further, the Global Burden of Diseases Study has projected a rise of more than 50% in mental disorders by the year 2020 (from 9.7% in 1990to 15% in 2020). And one third of this rise will be due to Major Depression. One of the prominent causes of preventable mortality is suicidal attempts made by patients of Major Depression. Therefore facilities to tackle this condition need to be set up globally on a warfooting by governments, NGOs and health care delivery systems, if morbidity and mortality of the world population has to be seriously controlled . The need, first of all, is to identify suicide prevention as public health policy, just as we think in terms of Malaria or Polio eradication, or have achieved smallpox eradication. (shrink)

This study investigates how patterns of media use and exposure to media messages are related to attitudes about artificial intelligence (AI) image generators. In doing so, it builds on theoretical accounts of media framing and public opinion about science and technology topics, including AI. The analyses draw on data from a survey of the US public (N = 1,035) that included an experimental manipulation of exposure to tweets framing AI image generators in terms of real art, artists’ concerns, artists’ (...) outrage, or competing interpretations. The results show that technology news use and science fiction viewing predicted support for AI art but also predicted belief that AI image generators will take jobs and steal art styles from human artists. In addition, the experimental results demonstrate that exposure to specific media messages can influence these responses. The findings carry implications for understanding the future adoption, use, and regulation of AI image generators. (shrink)

Artificial Intelligence (AI) in the 21st century is no longer perceived as a purely technological phenomenon, more and more becoming a social and humanitarian phenomenon that develops in a complex context of cultural, value, philosophical, and ethical aspects of human life. The impact of AIrelated technologies on contemporary society is still difficult to assess fully, which does not prevent enthusiastic researchers and political leaders from attempting to define a value framework that will ensure the use of AI for (...) societal development. As interest in AI grows, more and more technologically advanced countries in the world are creating their own strategies for the development and use of this technological marvel of the 21st century. These pioneering documents often seem vague and indefinite, but nevertheless they allow us to assess how the political and scientific and technological elites of these countries see the value orientations of AI technology development, both nationally and internationally. The article presents a philosophical analysis of the value orientations of AI technology development in the USA and China – modern scientific and technological leaders in this field – on the basis of strategic documents defining the development and application of AI in these countries from the position of post-non-classical scientific rationality. The authors of the article conclude that, at the contemporary post-non-classical stage of science development, the value component is not only one of the integral components of scientific and technological activities but may be decisive in determining the goals and objectives of high-tech development at the state level. (shrink)

The COVID-19 global health emergency has greatly impacted the educational field. Faced with unprecedented stress situations, professors, students, and families have employed various coping and resilience strategies throughout the confinement period. High and persistent stress levels are associated with other pathologies; hence, their detection and prevention are needed. Consequently, this study aimed to design a predictive model of stress in the educational field based on artificial intelligence that included certain sociodemographic variables, coping strategies, and resilience capacity, and to study (...) the relationship between them. The non-probabilistic snowball sampling method was used, involving 337 people from the university education community in south-eastern Spain. The Perceived Stress Scale, Stress Management Questionnaire, and Brief Resilience Scale were administered. The Statistical Package for the Social Sciences was used to design the architecture of artificial neural networks. The results found that stress levels could be predicted by the synaptic weights of coping strategies and timing of the epidemic, with a predictive capacity of over 80% found in the neural network model. Additionally, direct and significant associations were identified between the use of certain coping strategies, stress levels, and resilience. The conclusions of this research are essential for effective stress detection, and therefore, early intervention in the field of educational psychology, by discussing the influence of resilience or lack thereof on the prediction of stress levels. Identifying the variables that maintain a greater predictive power in stress levels is an effective strategy to design more adjusted prevention programs and to anticipate the needs of the community. (shrink)

Artificial Intelligence in the form of different machine learning models is applied to Big Data as a way to turn data into valuable knowledge. The rhetoric is that ensuing predictions work well—with a high degree of autonomy and automation. We argue that we need to analyze the process of applying machine learning in depth and highlight at what point human knowledge production takes place in seemingly autonomous work. This article reintroduces classification theory as an important framework for understanding such (...) seemingly invisible knowledge production in the machine learning development and design processes. We suggest a framework for studying such classification closely tied to different steps in the work process and exemplify the framework on two experiments with machine learning applied to Facebook data from one of our labs. By doing so we demonstrate ways in which classification and potential discrimination take place in even seemingly unsupervised and autonomous models. Moving away from concepts of non-supervision and autonomy enable us to understand the underlying classificatory dispositifs in the work process and that this form of analysis constitutes a first step towards governance of artificial intelligence. (shrink)

The increasing accuracy of algorithms to predict values and preferences raises the possibility that artificial intelligence technology will be able to serve as a surrogate decision-maker for incapacitated patients. Following Camillo Lamanna and Lauren Byrne, we call this technology the autonomy algorithm. Such an algorithm would mine medical research, health records, and social media data to predict patient treatment preferences. The possibility of developing the AA raises the ethical question of whether the AA or a relative ought to (...) serve as surrogate decision-maker in cases where the patient has not issued a medical power of attorney. We argue that in such cases, and against the standard practice of vesting familial surrogates with decision making authority, the AA should have sole decision-making authority. This is because the AA will likely be better at predicting what treatment option the patient would have chosen. It would also be better at avoiding bias and, therefore, choosing in a more patient-centered manner. Furthermore, we argue that these considerations override any moral weight of the patient’s special relationship with their relatives. (shrink)

Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the timeliness and robustness of health data. NLP techniques have been implemented to analyse large volumes of text from social media platforms to gain insights on disease symptoms, understand barriers to care and predict disease outbreaks. However, AI-based decisions may contain biases that could misrepresent populations, skew results or lead to errors. Bias, within the scope of this paper, (...) is described as the difference between the predictive values and true values within the modelling of an algorithm. Bias within algorithms may lead to inaccurate healthcare outcomes and exacerbate health disparities when results derived from these biased algorithms are applied to health interventions. Researchers who implement these algorithms must consider when and how bias may arise. This paper explores algorithmic biases as a result of data collection, labelling and modelling of NLP algorithms. Researchers have a role in ensuring that efforts towards combating bias are enforced, especially when drawing health conclusions derived from social media posts that are linguistically diverse. Through the implementation of open collaboration, auditing processes and the development of guidelines, researchers may be able to reduce bias and improve NLP algorithms that improve health surveillance. (shrink)

While new generations of implantable brain computer interface devices are being developed, evidence in the literature about their impact on the patient experience is lagging. In this article, we address this knowledge gap by analysing data from the first-in-human clinical trial to study patients with implanted BCI advisory devices. We explored perceptions of self-change across six patients who volunteered to be implanted with artificially intelligent BCI devices. We used qualitative methodological tools grounded in phenomenology to conduct in-depth, semi-structured interviews. Results (...) show that, on the one hand, BCIs can positively increase a sense of the self and control; on the other hand, they can induce radical distress, feelings of loss of control, and a rupture of patient identity. We conclude by offering suggestions for the proactive creation of preparedness protocols specific to intelligent—predictive and advisory—BCI technologies essential to prevent potential iatrogenic harms. (shrink)

A diagnosis of schizophrenia is often taken to denote a state of global irrationality within the psychiatric paradigm, wherein psychotic phenomena are seen to equate with a lack of mental capacity. However, the little research that has been undertaken on mental capacity in psychiatric patients shows that people with schizophrenia are more likely to experience isolated, rather than constitutive, irrationality and are therefore not necessarily globally incapacitated. Rational suicide has not been accepted as a valid choice for (...) people with schizophrenia due in part to a belief that characteristic irrationality prevents autonomous decision-making. Since people with schizophrenia are often seen to lack insight into the nature of their disorder, both psychiatric and ethical perspectives generally presume that suicidal acts result directly from mental illness itself and not from second-order desires. In this article, I challenge notions of global irrationality conferred by a diagnosis of schizophrenia and argue that, where delusional beliefs are unifocal, schizophrenia does not necessarily lead to a state of mental incapacity. I then attempt to show that people with schizophrenia can sometimes be rational with regard to suicide, where this decision stems from a realistic appraisal of psychological suffering. (shrink)

Since the publication of ChatGPT and Dall-E, there has been heavy discussions on the possible dangers of generative artificial intelligence (AI) for society. These discussions question the extent to which the development of AI can be regulated by politics, law, and civic actors. An important arena for discourse on AI is the news media. The news media discursively construct AI as a technology that is more or less possible to regulate. There are various reasons for an assumed regulatability. Some (...) voices highlight the predominant capitalism of modern society as an ideology that enforces an uncontrolled development of AI. Others call on the rationality of civic society, which will push AI toward a development that serves humankind. Summarized, the discourse on AI floats between positions of technological and social determinism. The article conducts a discourse analysis on 113 articles from the German newspapers Süddeutsche Zeitung and Frankfurter Allgemeine Zeitung. The analysis shows how these center-left and center-right media frame the AI development in terms of social and technological determinism. As these newspapers reach out to a large audience, the article shows the kinds of perspectives on AI that confront civic society in Germany every day. News media can motivate or impede social action, as they frame the potential necessity of society and its members to intervene against certain developments. The article shows how the newspapers promote an understanding of AI, by which citizens will feel motivated to insist on a regulation of AI by politics and law. (shrink)

Research has shown that suicide rate in Australia is on the rise and that most people who die by suicide are not in contact with mental health services. They most likely communicate their suicidal thoughts to family members or close friends, whose responses may sound unhelpful and/or dismissive, thus reinforcing suicidal ideation. This national emergency has been tackled via a social media campaign, #YouCan Talk, launched by a government-supported digital platform, BeyondBlue. This article adopts a multimodal (...) discourse analysis approach to investigate how peer support is encouraged and articulated in the context of mental health discourse for suicide prevention. The two case studies selected for analysis from the BeyondBlue platform are the #YouCanTalk social media campaign, designed to teach carers to identify severe depression and effectively respond to suicide warning signs and a sample of posts from a thread for peer support in a monitored online forum devoted to help carers who seek peer advice. Unlike previous research, the article focuses on how pronouns and verbs index interpersonal relations in a systemic-functional perspective as well as other multimodal resources, such as visuals, layout and hyperlinking, to understand how identities are entextualised by both professional health providers and peer carers in digital platforms that address mental health issues. (shrink)

Suicide prevention is a National Health Service priority in the United Kingdom. People with mental illness are seen to represent one of the most vulnerable groups for suicide and recent British Government policy has focused on prevention and management of perceived risk. This approach to suicide prevention is constructed under a biomedical model of psychiatry, which maintains that suicidal persons suffer from some form of disease or irrational drive towards self-destruction. Many react to the idea of (...) self-inflicted death with instinctive revulsion, which has prevented serious discussion of the concept of rational suicide, particularly in relation to those with schizophrenia. The idea that there may be circumstances in which suicide can be viewed as rational is discussed within the biomedical approach to ethics and wider literature primarily in relation to physical disease, terminal states and chronic pain. It is not deemed a viable choice for those who are considered ‘non-autonomous’ due to the controlling forces of mental illness. I propose that suicide is not a consequence of mental illness per se, and that it may be seen as a rational response to a realistic perspective on the course and consequences of living with schizophrenia. The denial of dialogue about the validity of suicidal ideation for people with schizophrenia has led to negative consequences for people with serious mental illness in terms of justice and recognition of person-hood. (shrink)

When mental health professionals or social workers are confronted with a suicidal individual, one approach is to use all means to delay the act of suicide until the desire for death subsides. Encouraging someone to delay suicide while bypassing the individual’s practical reasons for suicide can lead to irrational postponement, which equates to procrastinating suicide. Causing someone to procrastinate in this manner poses a risk of disrespecting the person as a rational agent. However, is (...) it even possible to irrationally delay one’s own act of suicide? Additionally, isn’t it beneficial to do so? The aim of the manuscript is to explore the possibility and value of using procrastination in managing suicidal individuals. First, I will argue that procrastination of a suicide intent is possible, which makes inducing this state of mind in people morally problematic. Second, I will argue that there is no intrinsic value in procrastination, although it does have instrumental value. Procrastination holds instrumental value for individuals who delay an irrational act of suicide. Furthermore, procrastination is valuable for clinical psychology, not by making people irrationally delay suicide but for assessing suicide risk. (shrink)

Every day, new warnings emerge about artificial intelligence rebelling against us. All the while, a more immediate dilemma flies under the radar. Have forces been unleashed that are thrusting humanity down an ill-advised path, one that's increasingly making us behave like simple machines? In this wide-reaching, interdisciplinary book, Brett Frischmann and Evan Selinger examine what's happening to our lives as society embraces big data, predictive analytics, and smart environments. They explain how the goal of designing programmable worlds goes hand (...) in hand with engineering predictable and programmable people. Detailing new frameworks, provocative case studies, and mind-blowing thought experiments, Frischmann and Selinger reveal hidden connections between fitness trackers, electronic contracts, social media platforms, robotic companions, fake news, autonomous cars, and more. This powerful analysis should be read by anyone interested in understanding exactly how technology threatens the future of our society, and what we can do now to build something better. (shrink)

Social media has witnessed different eating practices, including food mukbang. Food mukbang is a type of video presentation where hosts consume large quantities of food while interacting with viewers. This study is situated on the social eating theory, which explains how people connect their individual interests with society. Though this practice has been on social media platforms for a while now, little is known about its health impact on a wide range of audiences. Unhealthy eating practices are (...) associated with obesity and other chronic diseases, which are the leading causes of death in the world today. Given that there are unhealthy eating practices in food mukbang videos on social media, we collected thirty (30) food mukbang creative common license YouTube videos, and we extracted 2297 comments from these videos to study the trends. In view of this, we found that there is a collection of more unhealthy foods eaten to entertain viewers, different unhealthy eating behaviors such as eating quickly, talking while eating, and putting too much food in the mouth. In addition, we found that the viewers’ sentiments were positive, and they loved watching these videos. Hence, in its best practice, we propose an AI-driven persuasive intervention because AI technologies are capable of detecting unhealthy eating patterns and persuasive interventions can promote a change in behavior (healthy eating behavior). Based on our findings, we present three design recommendations for YouTube and other social media designers to consider in future: (1) using artificial intelligence-related technologies for predicting videos, (2) using natural language processing to prompt feedback, and (3) auto-generating disclaimers at the beginning and end of the video. (shrink)

There is a death by suicide in the world every 40 seconds, and suicide is the second leading cause of death for 15–29-year-olds. Experts say that one of the best ways to prevent suicide is for those in distress to hear from people who care about them. Facebook is in a unique position—through its support for networks and friendships on the site—to help connect a person in these difficult situations with people who can support them. Connecting people (...) with the resources they need is part of Facebook’s ongoing efforts to help build a safe community inside and outside of Facebook. This article provides a brief overview of how Facebook’s work to develop suicide prevention tools started and evolved, and the ethical considerations which surfaced during the process in the form of concrete product decisions around the implementation of these tools. This article is structured into three sections. Section 1 reviews what has been done in this space and lists and briefly describes other suicide prevention apps and tools. Section 2 describes Facebook’s overall approach to suicide prevention. Here, we’ll delve first into how that approach originated and how it was influenced by the external community’s proactive interactions with Facebook, highlighting our unique position to help address the problem. Afterwards, we’ll explain how that approach evolved, describing its various stages and iterations: understanding, reactive reporting, queue prioritization, and proactive reporting. This section describes the tools and resources Facebook has developed for people who may be at risk. Particular attention is devoted to the use of ArtificiaI Intelligence and Machine Learning to detect posts or live videos where someone might be expressing thoughts of suicide. Section 3 will elaborate on the ethical questions addressed when developing our approach and when making concrete product decisions to implement our suicide prevention tools. In this last section, we’ll expound the competing values and interests that were at stake during the product development process, and how we reached ethical balances between them. (shrink)

Recently, the ‘right to die’ became a major social issue. Few agree suicide is a right tout court. Even those who believe suicide (‘regular’, passive, or physician-assisted) is sometimes morally permissible usually require that a suicide be ‘rational suicide’: instrumentally rational, autonomous, due to stable goals, not due to mental illness, etc. We argue that there are some perfectly ‘rational suicides’ that are, nevertheless, bad mistakes. The concentration on the rationality of the (...) class='Hi'>suicide instead of on whether it is a mistake may lead to permitting suicides that should be forbidden. (shrink)

Machine learning (ML) has emerged as a promising tool in psychiatry, revolutionising diagnostic processes and patient outcomes. In this paper, I argue that while ML studies show promising initial results, their application in mimicking clinician-based judgements presents inherent limitations (Shatte et al. in Psychol Med 49:1426–1448. https://doi.org/10.1017/S0033291719000151, 2019). Most models still rely on DSM (the Diagnostic and Statistical Manual of Mental Disorders) categories, known for their heterogeneity and low predictive value. DSM's descriptive nature limits the validity of psychiatric diagnoses, (...) which leads to overdiagnosis, comorbidity, and low remission rates. The application in psychiatry highlights the limitations of supervised ML techniques. Supervised ML models inherit the validity issues of their training data set. When the model's outcome is a DSM classification, this can never be more valid or predictive than the clinician’s judgement. Therefore, I argue that these models have little added value to the patient. Moreover, the lack of known underlying causal pathways in psychiatric disorders prevents validating ML models based on such classifications. As such, I argue that high accuracy in these models is misleading when it is understood as validating the classification. In conclusion, these models will not will not offer any real benefit to patient outcomes. I propose a shift in focus, advocating for ML models to prioritise improving the predictability of prognosis, treatment selection, and prevention. Therefore, data selection and outcome variables should be geared towards this transdiagnostic goal. This way, ML can be leveraged to better support clinicians in personalised treatment strategies for mental health patients. (shrink)

This article links three rarely considered dimensions related to the implementation of artificial intelligence (AI)-based technologies in the form of predictive policing and discusses them in relation to liberal democratic societies. The three dimensions are the theoretical embedding and the workings of AI within anomic conditions (1), potential normative disorders emerging from them in the form of thinking errors and discriminatory practices (2) as well as the consequences of these disorders on the psychosocial, and emotional level (3). Against this (...) background, AI-induced anomie is conceptualized as a field of tension that refers to a systematic deterioration of democratic norms that are supposed to create ‘normative orders’, but which, when implemented through AI-supported measures, can reproduce existing discriminations, and establish new kinds of discriminatory relations. In future, these AI-based measures have the potential to lead to opposing normative disorders by emerging in the form of false social norms to an equally false Second Nature. They deprive persons involved of the possibility of individual appropriation of social norms and the specific emotional development associated with it. (shrink)

The contemporary digital reality is inconceivable without artificial intelligence (AI), which has become disseminated across all cultural practices, from scientific and artistic endeavors to everyday activities. AI increasingly functions as an agent of communication and decision-making, gradually surpassing human capabilities across nearly all competencies. The information flows of this new reality can only be navigated through hybrid systems based on post-critical rationality, which inherently introduces an irreducible element of uncertainty and risk in human-machine environments. The article proposes examining (...) the techno-subject through the lens of activity theory and the multiple types of rationality it generates. This framework facilitates the analysis of sociocultural and anthropological implications arising from AI’s integration with human domains, while addressing the existential challenges inherent in constructing a harmonious hybrid society. Beyond V.S. Stepin’s types of scientific rationality, the author builds upon previously introduced forms of rationality: post-critical, object-oriented, instrumental, subjective, results-oriented, creative, and autopoietic. This theoretical framework facilitates a substantive discussion of various manifestations of AI subjectivity, including its generalized embodiment and creative specificity. The demarcation of dominance domains between natural intelligence and AI in the intellectual sphere is proposed to be resolved on the basis of their heuristic potentials. The author maintains that natural intelligence invariably possesses superior capacity in this regard. The article examines approaches to risk assessment in AI implementation strategies, focusing on criteria for preserving anthropological and sociocultural profiles in the development of hybrid society. Advancing the concept of friendly AI is substantiated as essential, with consideration given not only to technological but also to anthropological aspects of human–machine interaction. The author advocates for the development of social examination institutions as regulatory mechanisms for natural–artificial intelligence interaction and anthropological–technological subject interfaces. (shrink)

This article is dedicated to methodological questions in ethical regulation of neuroresearch. Neuroethics has emerged recently within the framework of the neuro-trend in modern technoscience; its regulatory capabilities are yet to be discovered. Sciences that study human brain and behavior orient towards existing institutions of ethical regulation, which do not consider the complexity and specificity of the emerging threats and risks. The author examines the circumstances for formation of the research ethics and points of intersection with neuroethics. Research ethics is (...) viewed as a part of bioethics, which not only assessed the potential harm for the examinees, but also the social and anthropological consequences of scientific and technological development. The author provides a “narrow” understanding of research ethics as a system of rules within the framework of particular disciplines, and as a clinical research practice. Based on the historically established ethical regulation of clinical research and the forming beneath our eyes rules of modification of human genome and artificial intelligence, the author demonstrates contradictions and trends of the separate regulatory systems, which should be taken into account to prevent risks in neuroresearch and prediction of social implications of the spread of neurotechnologies. Ethical examination became a part of a complex system of international control of clinical research, which leads to fading of the value component aimed at protection of research subjects. The author underlines two factors that form the types of harm peculiar to neuroresearch: orientation towards technological realization and vulnerability of mental sphere as a subject of research. The conclusion is made on inefficiency of application of the calculation of harm/advantage in ethical assessment of neuroresearch. Leaning on the experience of bioethics, neuroethics requires development of the own systems of rules that would become the institutions of neuroethical regulation. For preventing formalization of ethical control, it is essential to advance extensive socio-humanistic assessment of new achievements in neuroscience, as well as neuroethical education for the scientists. (shrink)

The so-called predictive coding or predictive processing theory of mind has attracted significant attention in the brain and behavioral sciences over the past couple of decades. We aim to discuss an important ethical implication of the theory’s success. As predictive coding has become influential in the study of mental disorder and illness, particularly on autism spectrum disorder and schizophrenia, we point out a significant risk of further harming an already stigmatized population. Specifically, because predictive coding is undergirded by Bayesian (...) inference, and Bayesian inference is often thought to imply ‘rationality’, the cognitive framework engenders a risk of strengthening existing negative attitudes towards individuals having mental disorders and illnesses by associating such individuals with also having ‘irrational brains.’ ER -. (shrink)

There are widely held premises that suicide is almost exclusively the result of mental illness and there is “strong evidence for successfully detecting and managing suicidality in healthcare”. In this context, ‘zero-suicide’ policies have emerged, and suicide risk assessment tools have become a normative component of psychiatric practice. This essay discusses how suicide evolved from a moral to a medical problem and how, in an effort to reduce suicide, a paternalistic healthcare response emerged to (...) predict those at high risk. The evidence for the premises is critiqued and shown to be problematic; and it is found that strong paternalistic interventions are being used more often than acknowledged. Using a Principles approach, the ethics of overriding autonomy in suicide prevention is considered. Ethical concerns are identified with the current approach which are potentially amplified by the use of these risk assessments. Furthermore, it is identified that the widespread use of risk assessments in health settings is equivalent to screening without regard to the ethical principles of screening. The essay concludes that this is unethical; that we should abandon the use of standardized suicide risk assessments and ‘zero-suicide’ policy; and that this may improve outcomes. (shrink)

With the progress of social production, the competition for talents among enterprises is fierce, and the market often lacks capable leaders, which leads to the lack of management of enterprise employees and cannot bring more economic benefits to enterprises. Traditional leaders make subordinate employees work actively and achieve the common goal of the enterprise by exerting their own leadership characteristics and observing their subordinates, but they cannot take care of the psychological state of each employee, resulting in the employee's (...) work efficiency is not very high. In recent years, charismatic leadership has become an important economic leader in the new era, and the theoretical spirit of charismatic leadership can well guide employees to work actively. Artificial intelligence affective computing can well identify the psychological state of the subject, and the combination of artificial intelligence affective computing and charismatic leadership can achieve effective management of employees through the predictive analysis of employees' psychological state. This paper compares the psychological state prediction analysis of employees' work attitudes between charismatic leaders based on artificial intelligence affective computing and traditional leaders through experiments. The results show that: charismatic leaders based on artificial intelligence affective computing predictive analytics can improve sensitivity to employee needs, resulting in an 8.2% increase in employee trust in leadership, a 4.4% increase in employee commitment to achieving organizational goals, and a 19.3% increase in employee job satisfaction. The psychological state prediction analysis of charismatic leaders based on artificial intelligence affective computing on employees' work attitudes can improve the work efficiency of employees and the economic benefits of enterprises. (shrink)

Media guidelines on safe suicide-related reporting are within the suicide prevention armamentarium. However, implementation issues beleaguer real-world practice. This study evaluated the perspectives of the Malaysian media community, persons with lived experience of suicidal behavior, and mental health professionals on suicide-related reporting in terms of the impact, strategies, challenges, and the implementation of guidelines on safe reporting. Three focus group discussions of purposively sampled Malaysian media practitioners, PLE, and MHP were audio-recorded, transcribed, coded and thematically analyzed. (...) Inclusion criteria were: English fluency, no clinical depression or suicidal ideation, no recent previous suicide attempts or suicide bereavement. Three major themes emerged: Unsafe Reporting; Impact; and Safe Reporting. Most described current reporting as unsafe by being potentially triggering to media users and may contribute to contagion effect. Positive impacts identified included raised awareness toward suicide and its prevention. Unsafe reporting was attributed to inadequate awareness, knowledge, and guidance, lack of empathy and accountability, job-related factors, popularity-seeking, lack of monitoring and governance, and information source with unsafe content. Majority agreed on how suicide stories should be framed to produce a safe report. The media community diverged on how detailed a suicide story should be. Safe reporting challenges included difficulties in balancing beneficial versus harmful details, social media ubiquity and its citizen reporters. Participants suggested these safe reporting strategies: stakeholder engagement, educational approaches, improving governance and surveillance, and guidelines revision. Most acknowledged the relevance of guidelines but were unaware of the existence of local guidelines. Implementation challenges included the dilemma in balancing media industry needs vis-à-vis safe reporting requirements, stakeholder engagement difficulties and social media regulation. There is poor awareness regarding safe suicide-related reporting across all groups. PLE and MHP were negatively impacted by current unsafe messaging which aggravated trauma and grief reactions. Postvention support gaps for mental health professionals were highlighted. Safe reporting promotion strategies should include stakeholder engagement to increase awareness on minimizing Werther and maximizing Papageno effects. Strategic re-examination and dissemination of local media guidelines to address new media issues, and effective surveillance mechanisms, are crucial in sustainable improvement of safe reporting practices. (shrink)

The increasing use of Artificial Intelligence for making decisions in public affairs has sparked a lively debate on the benefits and potential harms of self-learning technologies, ranging from the hopes of fully informed and objectively taken decisions to fear for the destruction of mankind. To prevent the negative outcomes and to achieve accountable systems, many have argued that we need to open up the “black box” of AI decision-making and make it more transparent. Whereas this debate has primarily focused (...) on how transparency can secure high-quality, fair, and reliable decisions, far less attention has been devoted to the role of transparency when it comes to how the general public come to perceive AI decision-making as legitimate and worthy of acceptance. Since relying on coercion is not only normatively problematic but also costly and highly inefficient, perceived legitimacy is fundamental to the democratic system. This paper discusses how transparency in and about AI decision-making can affect the public’s perception of the legitimacy of decisions and decision-makers and produce a framework for analyzing these questions. We argue that a limited form of transparency that focuses on providing justifications for decisions has the potential to provide sufficient ground for perceived legitimacy without producing the harms full transparency would bring. (shrink)

Artificial intelligence and automation have become pervasive in news media, influencing journalism from news gathering to news distribution. As algorithms are increasingly determining editorial decisions, specific concerns have been raised with regard to the responsible and accountable use of AI-driven tools by news media, encompassing new regulatory and ethical questions. This contribution aims to analyze whether and to what extent the use of AI technology in news media and journalism is currently regulated and debated within the European Union and (...) the Council of Europe. Through a document analysis of official policy documents, combined with a data mining approach and an inductive thematic analysis, the study looks at how news media are dealt with, in particular regarding their responsibilities towards their users and society. The findings show that regulatory frameworks about AI rarely include media, but if they do, they associate them with issues such as disinformation, data, and AI literacy, as well as diversity, plurality, and social responsibility. (shrink)

Artificial intelligence (AI) has become indispensable in our lives. The development of a quantitative scale for AI ethics is necessary for a better understanding of public attitudes toward AI research ethics and to advance the discussion on using AI within society. For this study, we developed an AI ethics scale based on AI-specific scenarios. We investigated public attitudes toward AI ethics in Japan and the US using online questionnaires. We designed a test set using four dilemma scenarios and questionnaire (...) items based on a theoretical framework for ethics, legal, and social issues (ELSI). We found that _country_ and _age_ are the most informative sociodemographic categories for predicting attitudes for AI ethics. Our proposed scale, which consists of 13 questions, can be reduced to only three, covering ethics, tradition, and policies. This new AI ethics scale will help to quantify how AI research is accepted in society and which area of ELSI people are most concerned with. (shrink)

This article examines the problem of the specificity and functions of mental control from two main perspectives: (1) from the standpoint of natural scientific explanation; (2) within a socio-psychological and socio-humanitarian context. The first approach employs an information-based framework to address the question of how phenomena of subjective reality can serve as causes of physical changes. The distinction between informational and physical causality is elucidated, providing a justification for psychic (mental) causality as a form of informational causality. Within (...) this context, the article discusses issues of information encoding and decoding, recent advances in neuroscience regarding the deciphering of brain codes for mental phenomena, and pertinent results from genomics. The author explores the significance of these developments for substantiating free will and self-determination processes, as well as for developing new artificial intelligence systems capable of emulating natural intelligence functions. Building upon these foundations, the second aspect of the discussion examines the role of mental control in interpersonal and mass communications, as well as in the functioning of institutional entities. To this end, the article investigates the relationships between individual consciousness and mass, institutional consciousness, the importance of national leadership in extreme situations, the phenomenon of polysubjectivity, and related questions concerning the optimal balance between centralization and autonomization of control mechanisms. The author demonstrates the inevitability of overcoming the principle of monopolarity, which inhibits autonomization functions and thereby undermines the foundations of global social self-organization. Finally, the article briefly addresses a number of salient issues pertaining to the meaning, objectives, and outcomes of mental control acts, as well as their socio-humanitarian implications and evaluation. (shrink)

This study attempts to determine a correlation effect between people’s perception and awareness of the operationalization of artificial intelligence in their everyday lives and in the production, presentation, and publication of news media in the U.S. By looking at the effect individual characteristics may have on a person’s perception and awareness of AI operationalized for news media and looking at whether perception and/or awareness of AI operationalized in a person’s daily life affects their perception and awareness of AI operationalized (...) for news media, we seek to find correlation between these two factors. The research relies on Actor-network theory, the MAIN Model, and utilizes a convenience sample survey method using the MTurk participant platform. (shrink)

The use of artificial intelligence in healthcare contexts is highly controversial for the (bio)ethical conundrums it creates. One of the main problems arising from its implementation is the lack of transparency of machine learning algorithms, which is thought to impede the patient’s autonomous choice regarding their medical decisions. If the patient is unable to clearly understand why and how an AI algorithm reached certain medical decision, their autonomy is being hovered. However, there are alternatives to prevent the negative impact (...) of AI opacity in shared (healthcare professional–patient) decision-making processes, and benefit from the high accuracy of such systems. Despite these ethical issues, this paper advocates for its usage and also defends the positive role that it could have in enhancing patients’ autonomy. I advocate for a system where the implementation of AI is only partial, and humans will remain in control of oversighting algorithm interpretation of medical images and patients’ data. (shrink)

Artificial intelligence (AI) systems will increasingly be used to cause harm as they grow more capable. In fact, AI systems are already starting to help automate fraudulent activities, violate human rights, create harmful fake images, and identify dangerous toxins. To prevent some misuses of AI, we argue that targeted interventions on certain capabilities will be warranted. These restrictions may include controlling who can access certain types of AI models, what they can be used for, whether outputs are filtered or (...) can be traced back to their user, and the resources needed to develop them. We also contend that new restrictions on non-AI capabilities needed to cause harm will be required. For example, concerns about AI-enabled bioweapon acquisition have motivated efforts to introduce DNA synthesis screening. Though capability restrictions risk reducing use more than misuse (resulting in an unfavorable Misuse–Use Tradeoff), we argue that interventions on capabilities are warranted in some circumstances when other interventions are insufficient, the potential harm from misuse is high, and there are targeted interventions. We provide a taxonomy of interventions that can reduce AI misuse, focusing on the specific steps required for a misuse to cause harm (the Misuse Chain), and a framework to determine if an intervention is warranted. We exemplify our framework to three examples: predicting novel toxins, creating harmful images, and automating spear phishing campaigns. (shrink)

In this paper, I argue that within the Japanese social context, the act of suicide is a positive moral act because the values underpinning it are directly related to a socially pervasive moral belief that any act of self-sacrifice is a worthy pursuit. The philosophical basis for this view of the self and its relation to society goes back to the writings of Confucius who advocated a life of propriety in which being dutiful, obedient, and loyal to one's (...) group takes precedence over the desires of the individual selves that make up the group. I argue that this philosophical perspective poses formidable challenges to Japanese psychiatry (which accepts a contrary western perspective) because, as western psychiatry is based on the concept of autonomous individuality, the Japanese conceive of the self as socially embedded. Because suicide in Japan is viewed as a potentially honorable, virtuous, and even beautiful act of self-sacrifice expressing one's duty to one's group, the western perspective is quite foreign to the Japanese self-conceptual framework. Therefore, since Japanese psychiatry and law have embraced the western medical tradition of viewing suicide as a non-rational response to mental illness, which runs counter to the cultural view that suicide is a moral (and rational) act, I argue that western explanations of suicide present significant cross-cultural problems for Japanese psychiatry. (shrink)

The justification and rationality of this paper is to present some fundamental principles, theories, and concepts that we believe moulds the nucleus of a good artificial intelligence (AI) society. The morally accepted significance and utilitarian concerns that stems from the inception and realisation of an AI’s structural foundation are displayed in this study. This paper scrutinises the structural foundation, fundamentals, and cardinal righteous remonstrations, as well as the gaps in mechanisms towards novel prospects and perils in determining resilient (...) fundamentals, accountability, and AI’s convoluted and responsible implications. We outline a number of salient and practical benefits, in which to place moral norms within the mise en scène of AI, to delineate the rudimentary ethical dilemmas and decorous directions within the realms of AI. (shrink)

Artificial intelligence is becoming part of our everyday experience and is expected to be ever more integrated into ordinary life for many years to come. Thus, it is important for those in product development, research, and public policy to understand how the public’s perception of AI is shaped. In this study, we conducted focus groups and an online survey to determine the knowledge of AI held by the American public, and to judge whether entertainment media is a major influence (...) on how Americans perceive AI. What we found is that the American public’s knowledge of AI is patchy: some have a good understanding of what is and what is not AI, but many do not. When it came to understanding what AI can do, most respondents believe that AI could “replace human jobs” but few thought that it could “feel emotion.” Most respondents were optimistic about the future and impact of AI, though about one third were not sure. Most respondents also did not think they could develop an emotional bond with or be comfortable being provided care by an AI. Regarding the influence of entertainment media on perceptions of AI, we found a significant relationship between people’s beliefs about AI in entertainment media and their beliefs about AI in reality. Those who believe AI is realistically depicted in entertainment media were more likely to see AIs as potential emotional partners or apocalyptic robots than to imagine AIs taking over jobs or operating as surveillance tools. (shrink)

ABSTRACT:Suicide is a worldwide public health issue, and suicide ideation and behavior among adolescents, females in particular, have been increasing. Focusing on the risk factors that are unique to adolescents and adolescent females can help tailor and inform prevention strategies. There are unique biological, psychological, social, and societal factors that contribute to suicide ideation and behavior among adolescent females. Some of these include hormonal fluctuations and sensitivity, developing brain systems, impacts of social media, maladaptive coping, (...) and peer influence. These changes do not occur in a vacuum and have recently been impacted by the COVID-19 pandemic, which has been associated with increased social isolation and decreased mental health. By identifying how these factors coalesce and interact to drive suicide ideation and behavior, we can derive potential solutions to this problem. Given the variability in individuals, families, and communities, and the interacting and reinforcing nature of these risk factors, a multi-pronged approach that incorporates multiple interventions and involves families, schools, and communities is needed. (shrink)

The central thesis of this paper is that human unconscious processes influence the behavior and design of artificial intelligence (AI). This thesis is discussed through the case study of a chatbot called Replika, which intends to provide psychological assistance and friendship but has been accused of inciting murder and suicide. Replika originated from a trauma and a work of mourning lived by its creator. The traces of these unconscious dynamics can be detected in the design of the app (...) and the narratives about it. Therefore, a process of de-psychologization and de-humanization of the unconscious takes place through AI. This psychosocial approach helps criticize and overcome the so-called “standard model of intelligence” shared by most AI researchers. It facilitates a new interpretation of some classic problems in AI, such as control and responsibility. (shrink)

As artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today’s AI systems usually do these tasks with an unusual imbalance of insight and understanding: new, deeper insights are present, yet many important qualities that a human mind would have previously brought to the activity are utterly absent. Therefore, it is crucial to ask which features of minds have we replicated, which are missing, and if that matters. One core feature that humans bring to (...) tasks, when dealing with the ambiguity, emergent knowledge, and social context presented by the world, is reflection. Yet this capability is completely missing from current mainstream AI. In this paper we ask what reflective AI might look like. Then, drawing on notions of reflection in complex systems, cognitive science, and agents, we sketch an architecture for reflective AI agents, and highlight ways forward. (shrink)