Results for 'friendly AI'

951 found
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  1. Why Friendly AIs won’t be that Friendly: A Friendly Reply to Muehlhauser and Bostrom.Robert James M. Boyles & Jeremiah Joven Joaquin - 2020 - AI and Society 35 (2):505–507.
    In “Why We Need Friendly AI”, Luke Muehlhauser and Nick Bostrom propose that for our species to survive the impending rise of superintelligent AIs, we need to ensure that they would be human-friendly. This discussion note offers a more natural but bleaker outlook: that in the end, if these AIs do arise, they won’t be that friendly.
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  2.  67
    Friendly AI will still be our master. Or, why we should not want to be the pets of super-intelligent computers.Robert Sparrow - 2024 - AI and Society 39 (5):2439-2444.
    When asked about humanity’s future relationship with computers, Marvin Minsky famously replied “If we’re lucky, they might decide to keep us as pets”. A number of eminent authorities continue to argue that there is a real danger that “super-intelligent” machines will enslave—perhaps even destroy—humanity. One might think that it would swiftly follow that we should abandon the pursuit of AI. Instead, most of those who purport to be concerned about the existential threat posed by AI default to worrying about what (...)
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  3.  26
    “Your friendly AI assistant”: the anthropomorphic self-representations of ChatGPT and its implications for imagining AI.Karin van Es & Dennis Nguyen - forthcoming - AI and Society:1-13.
    This study analyzes how ChatGPT portrays and describes itself, revealing misleading myths about AI technologies, specifically conversational agents based on large language models. This analysis allows for critical reflection on the potential harm these misconceptions may pose for public understanding of AI and related technologies. While previous research has explored AI discourses and representations more generally, few studies focus specifically on AI chatbots. To narrow this research gap, an experimental-qualitative investigation into auto-generated AI representations based on prompting was conducted. Over (...)
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  4.  87
    Friendly AI.Barbro Fröding & Martin Peterson - 2020 - Ethics and Information Technology 23 (3):207-214.
    In this paper we discuss what we believe to be one of the most important features of near-future AIs, namely their capacity to behave in a friendly manner to humans. Our analysis of what it means for an AI to behave in a friendly manner does not presuppose that proper friendships between humans and AI systems could exist. That would require reciprocity, which is beyond the reach of near-future AI systems. Rather, we defend the claim that social AIs (...)
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  5. Two arguments against human-friendly AI.Ken Daley - 2021 - AI and Ethics 1 (1):435-444.
    The past few decades have seen a substantial increase in the focus on the myriad ethical implications of artificial intelligence. Included amongst the numerous issues is the existential risk that some believe could arise from the development of artificial general intelligence (AGI) which is an as-of-yet hypothetical form of AI that is able to perform all the same intellectual feats as humans. This has led to extensive research into how humans can avoid losing control of an AI that is at (...)
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  6. Creating friendly AI.Eliezer Yudkowsky - 2003
  7.  61
    Problems with “Friendly AI”.Oliver Li - 2021 - Ethics and Information Technology 23 (3):543-550.
    On virtue ethical grounds, Barbro Fröding and Martin Peterson recently recommended that near-future AIs should be developed as ‘Friendly AI’. AI in social interaction with humans should be programmed such that they mimic aspects of human friendship. While it is a reasonable goal to implement AI systems interacting with humans as Friendly AI, I identify four issues that need to be addressed concerning Friendly AI with Fröding’s and Peterson’s understanding of Friendly AI as a starting point. (...)
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  8. Why we need friendly ai.Luke Muehlhauser & Nick Bostrom - 2014 - Think 13 (36):41-47.
    Humans will not always be the most intelligent agents on Earth, the ones steering the future. What will happen to us when we no longer play that role, and how can we prepare for this transition?
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  9.  62
    Freedom, AI and God: why being dominated by a friendly super-AI might not be so bad.Morgan Luck - forthcoming - AI and Society:1-8.
    One response to the existential threat posed by a super-intelligent AI is to design it to be friendly to us. Some have argued that even if this were possible, the resulting AI would treat us as we do our pets. Sparrow (AI & Soc. https://doi.org/10.1007/s00146-023-01698-x, 2023) argues that this would be a bad outcome, for such an AI would dominate us—resulting in our freedom being diminished (Pettit in Just freedom: A moral compass for a complex world. WW Norton & (...)
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  10. (1 other version)Friendly Superintelligent AI: All You Need is Love.Michael Prinzing - 2012 - In Vincent C. Müller, The Philosophy & Theory of Artificial Intelligence. Springer. pp. 288-301.
    There is a non-trivial chance that sometime in the (perhaps somewhat distant) future, someone will build an artificial general intelligence that will surpass human-level cognitive proficiency and go on to become "superintelligent", vastly outperforming humans. The advent of superintelligent AI has great potential, for good or ill. It is therefore imperative that we find a way to ensure-long before one arrives-that any superintelligence we build will consistently act in ways congenial to our interests. This is a very difficult challenge in (...)
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  11.  40
    Friend or foe? Exploring the implications of large language models on the science system.Benedikt Fecher, Marcel Hebing, Melissa Laufer, Jörg Pohle & Fabian Sofsky - forthcoming - AI and Society:1-13.
    The advent of ChatGPT by OpenAI has prompted extensive discourse on its potential implications for science and higher education. While the impact on education has been a primary focus, there is limited empirical research on the effects of large language models (LLMs) and LLM-based chatbots on science and scientific practice. To investigate this further, we conducted a Delphi study involving 72 researchers specializing in AI and digitization. The study focused on applications and limitations of LLMs, their effects on the science (...)
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  12.  46
    Information and friend segregation for online social networks: a user study.Javed Ahmed, Serena Villata & Guido Governatori - 2019 - AI and Society 34 (4):753-766.
    Online social networks captured the attention of the masses by offering attractive means of sharing personal information and developing social relationships. People expose personal information about their lives on OSNs. This may result in undesirable consequences of users’ personal information leakage to an unwanted audience and raises privacy concerns. The issue of privacy has received a significant attention in both the research literature and the mainstream media. In this paper, we present results of an empirical study that measure users’ attitude (...)
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  13.  31
    Fairness & friends in the data science era.Barbara Catania, Giovanna Guerrini & Chiara Accinelli - 2023 - AI and Society 38 (2):721-731.
    The data science era is characterized by data-driven automated decision systems (ADS) enabling, through data analytics and machine learning, automated decisions in many contexts, deeply impacting our lives. As such, their downsides and potential risks are becoming more and more evident: technical solutions, alone, are not sufficient and an interdisciplinary approach is needed. Consequently, ADS should evolve into data-informed ADS, which take humans in the loop in all the data processing steps. Data-informed ADS should deal with data responsibly, guaranteeing nondiscrimination (...)
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  14.  48
    The open agent society as a platform for the user-friendly information society.Jeremy Pitt - 2005 - AI and Society 19 (2):123-158.
    A thematic priority of the European Union’s Framework V research and development programme was the creation of a user-friendly information society which met the needs of citizens and enterprises. In practice, though, for example in the case of on-line digital music, the needs of citizens and enterprises may be in conflict. This paper proposes to leverage the appearance of ‘intelligence’ in the platform layer of a layered communications architecture to avoid such conflicts in similar applications in the future. The (...)
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  15.  30
    Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate.Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, Zainab Hasan Ali, Tan Huy Tran, Rania M. Ghoniem & Ahmed A. Ewees - 2022 - Complexity 2022:1-22.
    The application of recycled aggregate as a sustainable material in construction projects is considered a promising approach to decrease the carbon footprint of concrete structures. Prediction of compressive strength of environmentally friendly concrete containing recycled aggregate is important for understanding sustainable structures’ concrete behaviour. In this research, the capability of the deep learning neural network approach is examined on the simulation of CS of EF concrete. The developed approach is compared to the well-known artificial intelligence approaches named multivariate adaptive (...)
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  16.  32
    Like real friends do: Communicating on social media with Sophia the robot.Laida Limniati, Dalila Honorato & Andreas Giannakoulopoulos - 2021 - Technoetic Arts 19 (1):163-170.
    Human–robot interaction (HRI) is the study focused on the relationship between humans and robots. HRI as a study combines elements from different fields such as computer science, artificial intelligence (AI), robotics, psychology and sociology. With the advancement in the field of AI, HRI showed greater improvements and now, we have the first robot recognized as a citizen of a country: Sophia the robot. Sophia is a robot that has a humanoid form, first made her appearance in 2016 and, according to (...)
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  17.  37
    Artificial intelligence in marketing: friend or foe of sustainable consumption?Erik Hermann - 2023 - AI and Society 38 (5):1975-1976.
  18.  44
    Artificial intimacy: virtual friends, digital lovers, algorithmic matchmakers.Linda Hamrick - forthcoming - AI and Society:1-2.
  19. Special issue on social impact of AI: killer robots or friendly fridges. [REVIEW]Greg Michaelson & Ruth Aylett - 2011 - AI and Society 26 (4):317-318.
  20.  48
    Corporate responsibility for the termination of digital friends.Nick Munn & Dan Weijers - 2023 - AI and Society 38 (4):1501-1502.
  21.  61
    Personal AI, deception, and the problem of emotional bubbles.Philip Maxwell Thingbø Mlonyeni - forthcoming - AI and Society:1-12.
    Personal AI is a new type of AI companion, distinct from the prevailing forms of AI companionship. Instead of playing a narrow and well-defined social role, like friend, lover, caretaker, or colleague, with a set of pre-determined responses and behaviors, Personal AI is engineered to tailor itself to the user, including learning to mirror the user’s unique emotional language and attitudes. This paper identifies two issues with Personal AI. First, like other AI companions, it is deceptive about the presence of (...)
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  22.  83
    Embodied AI beyond Embodied Cognition and Enactivism.Riccardo Manzotti - 2019 - Philosophies 4 (3):39.
    Over the last three decades, the rise of embodied cognition (EC) articulated in various schools (or versions) of embodied, embedded, extended and enacted cognition (Gallagher’s 4E) has offered AI a way out of traditional computationalism—an approach (or an understanding) loosely referred to as embodied AI. This view has split into various branches ranging from a weak form on the brink of functionalism (loosely represented by Clarks’ parity principle) to a strong form (often corresponding to autopoietic-friendly enactivism) suggesting that body−world (...)
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  23.  8
    Can a large language model be your friend?Manh-Toan Ho & Xuan-Trang Mai - forthcoming - AI and Society:1-2.
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  24. Debate: What is Personhood in the Age of AI?David J. Gunkel & Jordan Joseph Wales - 2021 - AI and Society 36 (2):473–486.
    In a friendly interdisciplinary debate, we interrogate from several vantage points the question of “personhood” in light of contemporary and near-future forms of social AI. David J. Gunkel approaches the matter from a philosophical and legal standpoint, while Jordan Wales offers reflections theological and psychological. Attending to metaphysical, moral, social, and legal understandings of personhood, we ask about the position of apparently personal artificial intelligences in our society and individual lives. Re-examining the “person” and questioning prominent construals of that (...)
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  25. Resilient Urban Energy Systems: AI-Enabled Smart City Applications.Eric Garcia - manuscript
    The growing demand for energy in urban environments, coupled with the urgent need to reduce carbon emissions, necessitates innovative approaches to power generation, distribution, and consumption. Artificial Intelligence (AI)-driven smart grids offer a transformative solution by optimizing energy efficiency, integrating renewable resources, and ensuring grid stability. This paper explores how machine learning and IoT-enabled predictive analytics can enhance smart grid performance in urban areas. By addressing challenges such as demand forecasting, load balancing, and renewable energy intermittency, this study demonstrates the (...)
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  26.  36
    Risposte ai miei critici.Maurizio Ferraris - 2012 - Rivista di Estetica 50:391-409.
    In this paper I discuss the commentaries and the criticism that my friends and colleagues have made to the theory of social objects that I put forward in my book Documentalità. Perché è necessario lasciar tracce. In particular, I have articulated my responses along the following main lines: realism; truth (and falsity); ontology vs. epistemology and facts vs. interpretations; textualism and writing; politics; intentionality; consciousness.
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  27. The rise of artificial intelligence and the crisis of moral passivity.Berman Chan - 2020 - AI and Society 35 (4):991-993.
    Set aside fanciful doomsday speculations about AI. Even lower-level AIs, while otherwise friendly and providing us a universal basic income, would be able to do all our jobs. Also, we would over-rely upon AI assistants even in our personal lives. Thus, John Danaher argues that a human crisis of moral passivity would result However, I argue firstly that if AIs are posited to lack the potential to become unfriendly, they may not be intelligent enough to replace us in all (...)
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  28.  11
    Technosubject and Anthroposocial Challenges of Human–Artificial Intelligence Interaction: Synergy, Demarcation, New Rationality, and Risks.Владимир Григорьевич Буданов - 2024 - Russian Journal of Philosophical Sciences 67 (3):27-52.
    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 (...)
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  29.  30
    Leveraging the potential of artificial intelligence (AI) in exploring the interplay among tax revenue, institutional quality, and economic growth in the G-7 countries.Charles Shaaba Saba & Nara Monkam - forthcoming - AI and Society:1-23.
    Due to G-7 countries' commitment to sustaining United Nations Sustainable Development Goal 8, which focuses on sustainable economic growth, there is a need to investigate the impact of tax revenue and institutional quality on economic growth, considering the role of artificial intelligence (AI) in the G-7 countries from 2012 to 2022. Cross-Sectional Augmented Autoregressive Distributed Lag (CS-ARDL) technique is used to analyze the data. The study's findings indicate a long-run equilibrium relationship among the variables under examination. The causality results can (...)
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  30.  24
    Teaching Listening Skills to EFL Students Using AI-Driven Technology-Based Media.Dr Paiker Fatima Mazhar Hameed & Dr Afreen Faiyaz Al Haq - forthcoming - Evolutionary Studies in Imaginative Culture:1989-1999.
    The aim of this paper is to find how much AI can be useful or as an aid in developing listening skill. A review has been made to past studies as well as the recent developments and innovations made by linguists and teaching community, yielding relevant observations. The present writing is an attempt at exhibiting how much the latest technology is effective which has been tailor-made to suit determined purpose directed at developing the listening skills of EFL learners. It is (...)
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  31. Security and Privacy Protection in Developing Ethical AI: A Mixed-Methods Study from a Marketing Employee Perspective.Xuequn Wang, Xiaolin Lin & Bin Shao - forthcoming - Journal of Business Ethics:1-20.
    Despite chatbots’ increasing popularity, firms often fail to fully achieve their benefits because of their underutilization. We argue that ethical concerns dealing with chatbot-related privacy and security may prevent firms from developing a culture of embracing chatbot use and fully integrating chatbots into their workflows. Our research draws upon the stimulus-organism-response theory (SOR) and a study by Floridi et al. (Minds and Machines, 28:689–707, 2018 ) on the ethical artificial intelligence framework to investigate how chatbot affordances can foster employees’ positive (...)
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  32. Safety Engineering for Artificial General Intelligence.Roman Yampolskiy & Joshua Fox - 2012 - Topoi 32 (2):217-226.
    Machine ethics and robot rights are quickly becoming hot topics in artificial intelligence and robotics communities. We will argue that attempts to attribute moral agency and assign rights to all intelligent machines are misguided, whether applied to infrahuman or superhuman AIs, as are proposals to limit the negative effects of AIs by constraining their behavior. As an alternative, we propose a new science of safety engineering for intelligent artificial agents based on maximizing for what humans value. In particular, we challenge (...)
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  33. A Conceptual and Computational Model of Moral Decision Making in Human and Artificial Agents.Wendell Wallach, Stan Franklin & Colin Allen - 2010 - Topics in Cognitive Science 2 (3):454-485.
    Recently, there has been a resurgence of interest in general, comprehensive models of human cognition. Such models aim to explain higher-order cognitive faculties, such as deliberation and planning. Given a computational representation, the validity of these models can be tested in computer simulations such as software agents or embodied robots. The push to implement computational models of this kind has created the field of artificial general intelligence (AGI). Moral decision making is arguably one of the most challenging tasks for computational (...)
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  34.  18
    Reframing Ethical Theory, Pedagogy, and Legislation to Bias Open Source AGI Towards Friendliness and Wisdom.John Gray Cox - 2015 - Journal of Evolution and Technology 25 (2):39-54.
    Hopes for biasing the odds towards the development of AGI that is human-friendly depend on finding and employing ethical theories and practices that can be incorporated successfully in the construction; programming and/or developmental growth; education and mature life world of future AGI. Mainstream ethical theories are ill-adapted for this purpose because of their mono-logical decision procedures which aim at “Golden rule” style principles and judgments which are objective in the sense of being universal and absolute. A much more helpful (...)
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  35.  17
    Posthumanism, Artificial Intelligence and Ishiguro's Klara & the Sun: Can Humanoid Machines attain consciousness?Khaled Abkar Alkodimi - forthcoming - Evolutionary Studies in Imaginative Culture:2000-2014.
    This paper examines Kazuo Ishiguro's Klara and The Sun through the lens of posthumanism. It uses the textual analysis method to analyze Ishiguro's text as a posthuman novel that depicts the posthuman society where the boundaries between what is human and the nonhuman is blurred. The basic argument is that the aim of Ishiguro's text is two-fold, while it clearly illustrates the inability of the humanoid robot to attain human consciousness, it attempts also to dismantle the anthropocentric view of man. (...)
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  36. Machines learning values.Steve Petersen - 2020 - In S. Matthew Liao, Ethics of Artificial Intelligence. Oxford University Press.
    Whether it would take one decade or several centuries, many agree that it is possible to create a *superintelligence*---an artificial intelligence with a godlike ability to achieve its goals. And many who have reflected carefully on this fact agree that our best hope for a "friendly" superintelligence is to design it to *learn* values like ours, since our values are too complex to program or hardwire explicitly. But the value learning approach to AI safety faces three particularly philosophical puzzles: (...)
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  37.  24
    Student Perceptions of Academic Integrity: A Qualitative Study of Understanding, Consequences, and Impact.Anna Stone - 2023 - Journal of Academic Ethics 21 (3):357-375.
    Background Academic integrity (AI) is of increasing importance in higher education. At the same time, students are becoming more consumer-oriented and more inclined to appeal against, or complain about, a penalty imposed for a breach of AI. This combination of factors places pressure on institutions of higher education to handle alleged breaches of AI in a way acceptable to students that motivates them to continue to engage with their studies. Method Students (n = 8) were interviewed to discover their perceptions (...)
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  38. Moral Uncertainty and Our Relationships with Unknown Minds.John Danaher - 2023 - Cambridge Quarterly of Healthcare Ethics 32 (4):482-495.
    We are sometimes unsure of the moral status of our relationships with other entities. Recent case studies in this uncertainty include our relationships with artificial agents (robots, assistant AI, etc.), animals, and patients with “locked-in” syndrome. Do these entities have basic moral standing? Could they count as true friends or lovers? What should we do when we do not know the answer to these questions? An influential line of reasoning suggests that, in such cases of moral uncertainty, we need meta-moral (...)
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  39. Anti-natalism and the creation of artificial minds.Bartek Chomanski - forthcoming - Journal of Applied Philosophy.
    Must opponents of creating conscious artificial agents embrace anti-natalism? Must anti-natalists be against the creation of conscious artificial agents? This article examines three attempts to argue against the creation of potentially conscious artificial intelligence (AI) in the context of these questions. The examination reveals that the argumentative strategy each author pursues commits them to the anti-natalist position with respect to procreation; that is to say, each author's argument, if applied consistently, should lead them to embrace the conclusion that procreation is, (...)
     
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  40. This is technology ethics: an introduction.Sven Nyholm - 2023 - Hoboken: Wiley-Blackwell.
    In the Technology Age, innovations in medical, communications, and weapons technologies have given rise to many new ethical questions: Are technologies always value-neutral tools? Are human values and human prejudices sometimes embedded in technologies? Should we merge with the technologies we use? Is it ethical to use autonomous weapons systems in warfare? What should a self-driving car do if it detects an unavoidable crash? Can robots have morally relevant properties? -/- This is Technology Ethics: An Introduction provides an accessible overview (...)
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  41.  19
    Environmental landscape design and planning system based on computer vision and deep learning.Xiubo Chen - 2023 - Journal of Intelligent Systems 32 (1).
    Environmental landscaping is known to build, plan, and manage landscapes that consider the ecology of a site and produce gardens that benefit both people and the rest of the ecosystem. Landscaping and the environment are combined in landscape design planning to provide holistic answers to complex issues. Seeding native species and eradicating alien species are just a few ways humans influence the region’s ecosystem. Landscape architecture is the design of landscapes, urban areas, or gardens and their modification. It comprises the (...)
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  42. The Ethics of Automating Therapy.Jake Burley, James J. Hughes, Alec Stubbs & Nir Eisikovits - 2024 - Ieet White Papers.
    The mental health crisis and loneliness epidemic have sparked a growing interest in leveraging artificial intelligence (AI) and chatbots as a potential solution. This report examines the benefits and risks of incorporating chatbots in mental health treatment. AI is used for mental health diagnosis and treatment decision-making and to train therapists on virtual patients. Chatbots are employed as always-available intermediaries with therapists, flagging symptoms for human intervention. But chatbots are also sold as stand-alone virtual therapists or as friends and lovers. (...)
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  43.  44
    Understanding users’ responses to disclosed vs. undisclosed customer service chatbots: a mixed methods study.Margot J. van der Goot, Nathalie Koubayová & Eva A. van Reijmersdal - 2024 - AI and Society 39 (6):2947-2960.
    Due to huge advancements in natural language processing (NLP) and machine learning, chatbots are gaining significance in the field of customer service. For users, it may be hard to distinguish whether they are communicating with a human or a chatbot. This brings ethical issues, as users have the right to know who or what they are interacting with (European Commission in Regulatory framework proposal on artificial intelligence. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai, 2022). One of the solutions is to include a disclosure at the start (...)
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  44. Nine Ways to Bias Open-Source AGI Toward Friendliness.Ben Goertzel & Joel Pitt - 2011 - Journal of Evolution and Technology 22 (1):116-131.
    While it seems unlikely that any method of guaranteeing human-friendliness on the part of advanced Artificial General Intelligence systems will be possible, this doesn’t mean the only alternatives are throttling AGI development to safeguard humanity, or plunging recklessly into the complete unknown. Without denying the presence of a certain irreducible uncertainty in such matters, it is still sensible to explore ways of biasing the odds in a favorable way, such that newly created AI systems are significantly more likely than not (...)
     
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  45.  27
    Subjectivity of Explainable Artificial Intelligence.Александр Николаевич Райков - 2022 - Russian Journal of Philosophical Sciences 65 (1):72-90.
    The article addresses the problem of identifying methods to develop the ability of artificial intelligence (AI) systems to provide explanations for their findings. This issue is not new, but, nowadays, the increasing complexity of AI systems is forcing scientists to intensify research in this direction. Modern neural networks contain hundreds of layers of neurons. The number of parameters of these networks reaches trillions, genetic algorithms generate thousands of generations of solutions, and the semantics of AI models become more complicated, going (...)
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  46. Superintelligence and the Future of Governance: On Prioritizing the Control Problem at the End of History.Phil Torres - 2018 - In Yampolskiy Roman, Artificial Intelligence Safety and Security. CRC Press.
    This chapter argues that dual-use emerging technologies are distributing unprecedented offensive capabilities to nonstate actors. To counteract this trend, some scholars have proposed that states become a little “less liberal” by implementing large-scale surveillance policies to monitor the actions of citizens. This is problematic, though, because the distribution of offensive capabilities is also undermining states’ capacity to enforce the rule of law. I will suggest that the only plausible escape from this conundrum, at least from our present vantage point, is (...)
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  47. Authenticity and co-design: On responsibly creating relational robots for children.Milo Phillips-Brown, Marion Boulicault, Jacqueline Kory-Westland, Stephanie Nguyen & Cynthia Breazeal - 2023 - In Mizuko Ito, Remy Cross, Karthik Dinakar & Candice Odgers, Algorithmic Rights and Protections for Children. MIT Press. pp. 85-121.
    Meet Tega. Blue, fluffy, and AI-enabled, Tega is a relational robot: a robot designed to form relationships with humans. Created to aid in early childhood education, Tega talks with children, plays educational games with them, solves puzzles, and helps in creative activities like making up stories and drawing. Children are drawn to Tega, describing him as a friend, and attributing thoughts and feelings to him ("he's kind," "if you just left him here and nobody came to play with him, he (...)
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  48.  35
    The Truth in Writing. Amanda - 2015 - Narrative Inquiry in Bioethics 5 (2):98-100.
    In lieu of an abstract, here is a brief excerpt of the content:The Truth in WritingAmandaAn excerpt from my journal during a dark period in my life reads:I am a survivor of sexual mutilation, of coerced gender roles, and of perpetual lies all in the name of normalization. Sometimes I have a hard time even thinking about the true extent of what all happened. It’s like my mind doesn’t have that type of scope, like when I think about the word (...)
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  49.  36
    Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by Anita Ho.Tina Nguyen - 2024 - International Journal of Feminist Approaches to Bioethics 17 (1):101-105.
    In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by Anita HoTina Nguyen (bio)Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by Anita Ho New York: Oxford University Press, 2023As the reach of artificial intelligence (AI)- and machine learning (ML)-enabled technologies continues to expand in the healthcare field, bioethicists have examined the ethical issues that (...)
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  50. Grande Sertão: Veredas by João Guimarães Rosa.Felipe W. Martinez, Nancy Fumero & Ben Segal - 2013 - Continent 3 (1):27-43.
    INTRODUCTION BY NANCY FUMERO What is a translation that stalls comprehension? That, when read, parsed, obfuscates comprehension through any language – English, Portuguese. It is inevitable that readers expect fidelity from translations. That language mirror with a sort of precision that enables the reader to become of another location, condition, to grasp in English in a similar vein as readers of Portuguese might from João Guimarães Rosa’s GRANDE SERTÃO: VEREDAS. There is the expectation that translations enable mobility. That what was (...)
     
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