With the rapid development of the market economy, there are more and more projects in the financial industry, and their complexity and technical requirements are getting higher and higher. The development of computer technology has promoted the birth of robot consultants, and it is of great significance to use robot consultants to manage and supervise financial industry projects. In order to further analyze the development and supervision of robo-advisors under the digital inclusive financial system, this paper uses complex (...) systems and clustering algorithms as technical support to carry out research. First, the traditional K-means algorithm is used to select the initial clustering center, to improve the noise and outlier processing capabilities, and to build a data mining system based on the improved algorithm. Then, a product design model for robo-advisors is built and the risks of robo-advisors are analyzed from three aspects: technology, market, and law. Analyzing the performance of the improved K-means algorithm, in the operation of the experimental dataset B, the accuracy of the clustering result after 6 iterations reached 97.08%, which shows that the algorithm has good performance. During the trial operation of the data mining system, the four types of customers of financial institutions were accurately clustered, and it was concluded that the main type of customers who brought benefits to financial institutions was high-income customers accounting for 10.75%. Robo-advisory product models are used to build five risk-level investment portfolios and conduct risk backtests. Except for the growth and income portfolio, other portfolios have consistently outperformed the performance benchmark during the analyzed time period. Running the research system of this paper in a financial institution, comparing the capital budget before and after the operation, found that the system can improve the accuracy of the budget and reduce the risk of the robo-advisor for the financial institution. (shrink)

Unlike the many services already transformed by artificial intelligence (_AI_), the financial advice sector remains committed to a human interface. That is surprising as an AI-powered financial advisor (a _robo-advisor_) can offer personalised financial advice at much lower cost than traditional human advice. This is particularly important for those who need but cannot afford or access traditional financial advice. Robo-advice is easily accessible, available on-demand, and pools all relevant information in finding and implementing an optimal financial plan. In a (...) perfectly competitive market for financial advice, robo-advice should prevail. Unfortunately, this market is imperfect with asymmetric information causing generalised advice aversion with a disproportionate lack of trust in robo-advice. Initial distrust makes advice clients reluctant to use, or switch to, robo-advice. This paper investigates the ethical concerns specific to robo-advice underpinning this lack of trust. We propose a regulatory framework addressing these concerns to ensure robo-advice can be an ethical resource for good, resolving the increasing complexity of financial decision-making. Fit for purpose regulation augments initial trust in robo-advice and supports advice clients in discriminating between high-trust and low-trust robo-advisors. Aspiring robo-advisors need to clear four licensing gateways to qualify for an AI Robo-Advice License (AIRAL). Licensed robo-advisors should then be monitored for ethical compliance. Using a balanced score card for ethical performance generates an ethics rating. This _gateways-and-ratings_ methodology builds trust in the robo-advisory market through improved transparency, reduced information asymmetry, and lower risk of adverse selection. (shrink)

Although the terms mentor and thesis advisor (or research supervisor) are often used interchangeably, the responsibilities associated with these roles are distinct, even when they overlap. Neither are role models necessarily mentors, though mentors are role models: good examples are necessary but not sufficient. Mentorship is both a personal and a professional relationship. It has the potential for raising a number of ethical concerns, including issues of accuracy and reliability of the information conveyed, access, stereotyping and tracking of advisees, and (...) the abuse of power. Nevertheless, mentors can be critically important for professional success and are one of a number of elements that affect the responsible conduct of research. In addition, the community as a whole has a responsibility to mentor junior members. (shrink)

Com a evolução da tecnologia, é cada vez mais comum encontrar robôs de conversação com maior capacidade de argumentar em um diálogo. Embora estejam muito longe de se igualarem a seres humanos nesse quesito, há vários desses robôs com performances significativas ao realizar essa tarefa. Nesse sentido, este estudo tem por objetivo discutir basicamente o conceito de ethos em máquinas que simulam personalidades humanas pré-determinadas. O estudo baseia-se em consulta bibliográfica interdisciplinar voltada às áreas de Linguística, Discurso, Retórica, Processamento de (...) Linguagem Natural, Inteligência Artificial e Processamento de Dados. A observação dos exemplos utilizados para comparação sugere que mais pesquisas na mesma direção devem ser realizadas, tendo em vista que a evolução dessas máquinas é exponencial e constante. (shrink)

The paper has two goals. First, it defends one type of subjectivist account of reasons for actions—deliberative accounts—against the criticism that they commit the conditional fallacy. Second, it attempts to show that another type of subjectivist account of practical reasons that has been gaining popularity—ideal advisor accounts—are liable to commit a closely related error. Further, I argue that ideal advisor accounts can avoid the error only by accepting the fundamental theoretical motivation behind deliberative accounts. I conclude that ideal advisor accounts (...) represent neither a substantial departure from, nor a substantial improvement upon, deliberative accounts. (shrink)

This book focuses on some of the most pressing methodological, ethical, and technique-philosophical questions that are connected with the concept of artificial autonomous systems. (Series: Hermeneutics and Anthropology / Hermeneutik und ...

Could the employment of large language models (LLMs) in place of human advisors improve the problem-solving ability of democratic assemblies? LLMs represent the most significant recent incarnation of artificial intelligence and could change the future of democratic governance. This paper assesses their potential to serve as expert advisors to democratic representatives. While LLMs promise enhanced expertise availability and accessibility, they also present specific challenges. These include hallucinations, misalignment and value imposition. After weighing LLMs’ benefits and drawbacks against human (...) advisors, I argue that time-tested democratic procedures, such as deliberation and aggregation by voting, provide safeguards that are effective against human and machine advisor shortcomings alike. Additional protective measures may include custom training for advisor LLMs or boosting representatives’ competencies in query formulation. Implementation of adversarial proceedings in which LLM advisors would debate each other and provide dissenting opinions is likely to yield further epistemic benefits. Overall, promising interventions that would mitigate the LLM risks appear feasible. Machine advisors could thus empower human decision-makers to make more autonomous, higher-quality decisions. On this basis, I defend the hypothesis that LLMs’ careful integration into policymaking could augment democracy’s ability to address today’s complex social problems. (shrink)

Through the lens of the Health Belief Model and Protection Motivation Theory, we analyzed interviews of 36 agricultural advisors in Indiana and Nebraska to understand their appraisals of climate change risk, related decision making processes and subsequent risk management advice to producers. Most advisors interviewed accept that weather events are a risk for US Midwestern agriculture; however, they are more concerned about tangible threats such as crop prices. There is not much concern about climate change among agricultural (...) class='Hi'>advisors. Management practices that could help producers adapt to climate change were more likely to be recommended by conservation and Extension advisors, while financial and crop advisors focused more upon season-to-season decision making. We contend that the agricultural community should integrate long-term thinking as part of farm decision making processes and that agricultural advisors are in a prime position to influence producers. In the face of increasing extreme weather events, climatologists and advisors should work more closely to reach a shared understanding of the risks posed to agriculture by climate change. (shrink)

Richard Rudner famously argues that the communication of scientific advice to policy makers involves ethical value judgments. His argument has, however, been rightly criticized. This article revives Rudner’s conclusion, by strengthening both his lines of argument: we generalize his initial assumption regarding the form in which scientists must communicate their results and complete his ‘backup’ argument by appealing to the difference between private and public decisions. Our conclusion that science advisors must, for deep-seated pragmatic reasons, make value judgments is (...) further bolstered by reflections on how the scientific contribution to policy is far less straightforward than the Rudner-style model suggests. (shrink)

On the background of recent concerns regarding online education in times of pandemic and a growing pedagogical divide in terms of unequal access to skilled teachers, we consider it timely to open a debate surrounding the use of social robots in education fulfilling a role that is anchored in the institution of pedagogs in Antiquity and which was somewhat left aside from contemporary inquiries: the pedagogical role of supporting and complementing the teaching activity. We develop our conceptual philosophical contribution to (...) this debate around the following question: Is the use of social robots in primary and lower secondary education an intervention that can contribute positively to bridging the pedagogical divide? We offer a moderate-positive answer to this question within the normative framework of Aristotelian virtue ethics. Namely, we argue that social robots in the form of collaborative robots (cobots) can be co-designed as pedagogical enabling devices to provide support to children for acquiring intellectual virtues necessary in the educational process and thus contribute to solving part of the pedagogical divide. (shrink)

Although the advising literature has emphasized the importance of good academic advising, there has been little emphasis on ethical issues. NACADA: The Global Community for Academic Advising provides Core Values to guide ethical behavior. This study used an experimental design to examine perspectives of ethical behavior among faculty, staff, and students. All groups could differentiate between ethical and unethical extremes, but students had difficulty differentiating between ethical and neutral behavior. All groups hesitated to rate advisors as highly ethical or (...) unethical. Even when behavior was seen as less ethical, students and faculty/staff perceived limited opportunity for students to do something about that behavior, such as change advisors. Suggestions are offered to increase the likelihood of more ethical behavior within advisement. (shrink)

Este artigo tem como objetivo principal analisar o pensamento desenvolvido por Georges Canguilhem e Gilbert Simondon sobre dois conceitos principais: o conceito de organismo e de máquina. A intenção é de reconstruir, a partir das continuidades e descontinuidades entre os dois conceitos, o raciocínio desenvolvido pelos dois autores sobre esses temas na história da filosofia francesa do século passado. Assim, tomamos como escopo as obras La connaissance de la vie, publicada por Canguilhem em 1952 e a tese complementar de doutoramento (...) de Simondon, orientada por Canguilhem, Du mode d’existence des objets techniques, de 1958. A partir disso, o texto se divide em seis partes: uma introdução, onde damos as especificações de escopo e de análise, seguida pela primeira parte, onde analisamos os conceitos de pensamento, conhecimento, sujeito e objeto. Em seguida, na parte dois, analisamos os conceitos de máquina, mecanismo e motor, como utilizadas em Canguilhem, e os conceitos de indivíduo, elemento e conjunto técnico desenvolvidas por Simondon. A terceira parte se dedica a analisar a questão do autômato, bem como os conceitos de mecanismo e finalismo. A quarta parte desenvolve o conceito de organismo-máquina e os conceitos de potencialidade e de teleologia desenvolvidos principalmente em Canguilhem. Por fim, na conclusão, analisamos as aproximações e distâncias entre os dois autores, bem como a imagem do monstro e do robô. (shrink)

Este texto discute alguns filmes classificados como de ficção científica para marcar como o cinema nos tem ensinado a ver e a viver nessa civilização altamente tecnológica, à qual se tem atribuído o qualificativo cibernética. (APPIGNANESI; GARRAT, 1998). Tal civilização, também configurada como pós-moderna (Lyotard, 1989), como modernidade líquida (BAUMAN, 2001), ou como modernidade tardia (JAMESON, 2002), tem sido caracterizada por atuar na produção de subjetividades bastante diversas das usualmente invocadas para referir o homem no humanismo moderno. Muitos dos debates (...) conduzidos salientam a centralidade que as TICs alcançam nas sociedades contemporâneas, que também se caracterizam pela emergência de formas ciborgues, pós-humanas ou pós-orgânicas, que representam corpos descritos muito mais como processos ou arranjos da informação do que como corposmáquina, como as perspectivas modernistas enfatizavam. Argumentamos que se rompem nessas novas representações importantes binarismos modernos, tais como, homem/máquina, biológico/tecnológico e natureza/cultura. (shrink)

We describe a form of moral artificial intelligence that could be used to improve human moral decision-making. We call it the “artificial moral advisor”. The AMA would implement a quasi-relativistic version of the “ideal observer” famously described by Roderick Firth. We describe similarities and differences between the AMA and Firth’s ideal observer. Like Firth’s ideal observer, the AMA is disinterested, dispassionate, and consistent in its judgments. Unlike Firth’s observer, the AMA is non-absolutist, because it would take into account the human (...) agent’s own principles and values. We argue that the AMA would respect and indeed enhance individuals’ moral autonomy, help individuals achieve wide and a narrow reflective equilibrium, make up for the limitations of human moral psychology in a way that takes conservatives’ objections to human bioenhancement seriously, and implement the positive functions of intuitions and emotions in human morality without their downsides, such as biases and prejudices. (shrink)

This pragmatic workbook delivers everyday tools, exercises, resources, and actionable to-do lists for the wide range of situations a trusted advisor inevitably ...

O uso da inteligência artificial no Poder Judiciário ainda encontra fortes limitações à luz da compreensão representacional-computacional da mente. A exemplo do projeto pioneiro do juiz robô na Estônia, a dificuldade reside na incapacidade de apreensão da narrativa subjetiva da máquina. Logo, através da experiência do ser-aí-no- mundo de Heidegger, define-se um contraste entre cognição humana e funcionamento computacional. Partindo de uma pesquisa qualitativa e de cunho bibliográfico, busca-se demonstrar a complexidade de conceber dispositivos puramente físicos com inteligências aptas a (...) substituírem juízes por robôs. Conclui-se que ainda não há tecnologia capaz de substituir a ciência cognitiva heideggeriana do Dasein. (shrink)

The president’s science advisor was formerly established in the days following the Soviet launch of Sputnik at the height of the Cold War, creating an impression of scientists at the center of presidential power. However, since that time the role of the science advisor has been far more prosaic, with a role that might be more aptly described as a coordinator of budgets and programs, and thus more closely related to the functions of the Office of Management and Budget than (...) the development of presidential policy. This role dramatically enhances the position of the scientific community to argue for its share of federal expenditures. At the same time, scientific and technological expertise permeates every function of government policy and politics, and the science advisor is only rarely involved in wider White House decision making. The actual role of the science advisor as compared to its heady initial days, in the context of an overall rise of governmental expertise, provides ample reason to reconsider the role of the presidential science advisor, and to set our expectations for that role accordingly. (shrink)

Professor Mitt Regan takes up Brad Wendel's suggestion that we have to distinguish the ethics of advocates from those which guide other forms of legal work, and proposes that the distinction be taken further. Legal advising can itself implicate different ethical positions. Regan concentrates on tax advisers, and argues that their work can, at times, legitimately require a partisan advocate's stance in the giving of tax advice or an impartial trustee's stance in ensuring that the spirit, as well as the (...) letter, of tax law is honoured. Especially in the US, there are strong systemic justifications for treating the tax adviser as an advocate: the wide latitude that tax law gives the citizen when calculating tax liability, the hazards of accurate interpretation of the tax code, and the need for predictability in client arrangements suggesting that it is preferable to concentrate strictly on the letter of the law. So too, the tax adviser as trustee is informed by the importance of tax collection for ordinary government services, and by 'tax morale' and the community's confidence in the tax system generally. The bifurcation of ethical stances in tax advising is, as a consequence, a function of the 'conflicted regulation' of citizen taxpayers. (shrink)

This paper aims to clear up the epistemology of learning morality from Artificial Moral Advisors (AMAs). We start with a brief consideration of what counts as moral enhancement and consider the risk of deskilling raised by machines that offer moral advice. We then shift focus to the epistemology of moral advice and show when and under what conditions moral advice can lead to enhancement. We argue that people’s motivational dispositions are enhanced by inspiring people to act morally, instead of (...) merely telling them how to act. Drawing upon these insights, we claim that if AMAs are to genuinely enhance people morally, they should be designed as inspiration and not authority machines. In the final section, we evaluate existing AMA models to shed light on which holds the most promise for helping to make users better moral agents. (shrink)

In humans, gender is both a concept and performance embodied by females and males, a corporeal technology that is produced dialectically. The process of gendering robots makes especially clear that gender belongs both to the order of the material body and to the social and discursive or semiotic systems within which bodies are embedded. This article explores and interrogates the gendering of humanoid robots manufactured today in Japan for employment in the home and workplace. Gender attribution is a process of (...) reality construction. Roboticists assign gender based on their common-sense assumptions about female and male sex and gender roles. Whereas the relationship between human bodies and genders is a contingent one, I argue that gendered robots render that relationship a necessary one by conflating bodies and genders. Humanoid robots are the vanguard of posthuman sexism, and are being developed within a reactionary rhetorical climate. (shrink)

The robotics industry is growing rapidly, and to a large extent the development of this market sector is due to the area of social robotics – the production of robots that are designed to enter the space of human social interaction, both physically and semantically. Since social robots present a new type of social agent, they have been aptly classified as a disruptive technology, i.e. the sort of technology which affects the core of our current social practices and might lead (...) to profound cultural and social change. -/- Due to its disruptive and innovative potential, social robotics raises not only questions about utility, ethics, and legal aspects, but calls for “robo-philosophy” – the comprehensive philosophical reflection from the perspectives of all philosophical disciplines. This book presents the proceedings of the first conference in this new area, “Robo-Philosophy 2014 – Sociable Robots and the Future of Social Relations", held in Aarhus, Denmark, in August 2014. The short papers and abstracts collected here address questions of social robotics from the perspectives of philosophy of mind, social ontology, ethics, meta-ethics, political philosophy, aesthetics, intercultural philosophy, and metaphilosophy. -/- Social robotics is still in its early stages, but it is precisely now that we need to reflect its possible cultural repercussions. This book is accessible to a wide readership and will be of interest to everyone involved in the development and use of social robotics applications, from social roboticists to policy makers. (shrink)

In her recent article, ‘Internalism About Reasons: Sad But True?,’ Kate Manne offers a brilliant defense of a novel version of internalism about normative reasons. But I will argue that this defense is not successful. After explaining the nature of Manne’s internalism, I offer two counterexamples to it, thereby showing that her argument in its favor goes wrong somewhere. I then identify the false premise in her argument. In brief, I suggest that Manne’s ‘practice-based approach’ to practical normativity (or at (...) least, to normative reasons) should be rejected. (shrink)

Deep learning AI systems have proven a wide capacity to take over human-related activities such as car driving, medical diagnosing, or elderly care, often displaying behaviour with unpredictable consequences, including negative ones. This has raised the question whether highly autonomous AI may qualify as morally responsible agents. In this article, we develop a set of four conditions that an entity needs to meet in order to be ascribed moral responsibility, by drawing on Aristotelian ethics and contemporary philosophical research. We encode (...) these conditions and generate a flowchart that we call the Moral Responsibility Test. This test can be used as a tool both to evaluate whether an entity is a morally responsible agent and to inform human moral decision-making over the influencing variables of the context of action. We apply the test to the case of Artificial Moral Advisors and conclude that this form of AI cannot qualify as morally responsible agents. We further discuss the implications for the use of AMAs as moral enhancement and show that using AMAs to offload human responsibility is inadequate. We argue instead that AMAs could morally enhance users if they are interpreted as enablers for moral knowledge of the contextual variables surrounding human moral decision-making, with the implication that such a use might actually enlarge human moral responsibility. (shrink)

In the process of decision-making based on conferring with advisors, people are sensitive to advisors’ emotional expressions. An advisor’s expression is considered a type of feedback. The quick detection of motivational or valence significance of feedback has been associated with feedback-related negativity (FRN). In this study, we investigated how decision makers evaluated advice that was distant from the original estimate provided by advisors with different emotional expressions based on behavioural, FRN, and P300 data. The results showed that (...) participants were more likely to modify their initial estimates based on advice from advisors with happy expressions than from advisors with angry expressions, regardless of whether it was near-distance advice or far-distance advice. When facing far-distance advice, FRN amplitudes in angry-expression conditions were significantly larger than in happy-expression conditions. When facing near-distance advice, there was no significant difference in the FRN amplitude between happy- and angry-expression conditions. P300 amplitudes were larger in near-distance conditions than in far-distance conditions. These findings suggest that, as a type of feedback with social information, the advisor’s face will affect the decision maker’s evaluation of the advice, with a happy face of the advisor serving as correct feedback and an angry face serving as incorrect feedback. (shrink)

This article proposes a new problem which is called the Stochastic Travelling Advisor Problem in network optimization, and it is defined for an advisory group who wants to choose a subset of candidate workplaces comprising the most profitable route within the time limit of day working hours. A nonlinear binary mathematical model is formulated and a real application case study in the occupational health and safety field is presented. The problem has a stochastic nature in travelling and advising times since (...) the deterministic models are not appropriate for such real-life problems. The STAP is handled by proposing suitable probability distributions for the time parameters and simulating the problem under such conditions. Many application problems like this one are formulated as nonlinear binary programming models which are hard to be solved using exact algorithms especially in large dimensions. A novel binary version of the recently developed gaining-sharing knowledge-based optimization algorithm to solve binary optimization problems is given. GSK algorithm is based on the concept of how humans acquire and share knowledge during their life span. The binary version of GSK depends mainly on two stages that enable BGSK for exploring and exploitation of the search space efficiently and effectively to solve problems in binary space. The generated simulation runs of the example are solved using the BGSK, and the output histograms and the best-fitted distributions for the total profit and for the route length are obtained. (shrink)

Artificial Intelligence (AI) has permeated every section of human life. Some even suggest that artificial moral advisors (AMAs)—that is, AI-driven artefacts designed to assist human moral growth by providing moral advice—can help humans to lead virtuous lives. With a focus on Thomas Aquinas's theological virtue ethics, this article will argue that AMA projects are cast into question because, theologically speaking, the cultivation of virtues and moral growth are inseparable from hope and patience given through God's grace, which is immeasurable (...) and cannot be reductively mathematised into AI models. Moreover, the tension between AI's efficiency and patient moral life offers further criticism of AMAs. That said, the theology of patience brings forth a conceptual apparatus through which to qualify the virtuous AMA as a tool to bring together human moral advisors as silent hearers and human moral advisees as patient inquirers. (shrink)

This paper discusses ethical issues surrounding Integrated Assessment Models (IAMs) of the economic effects of climate change, and how climate economists acting as policy advisors ought to represent the uncertain possibility of catastrophe. Some climate economists, especially Martin Weitzman, have argued for a precautionary approach where avoiding catastrophe should structure climate economists’ welfare analysis. This paper details ethical arguments that justify this approach, showing how Weitzman’s “fat tail” probabilities of climate catastrophe pose ethical problems for widely used IAMs. The (...) main claim is that economists who ignore or downplay catastrophic risks in their representations of uncertainty likely fall afoul of ethical constraints on scientists acting as policy advisors. Such scientists have duties to honestly articulate uncertainties and manage (some) inductive risks, or the risks of being wrong in different ways. (shrink)

This paper is a critique of a paper by Robert Lipkin [1]. Arguments for the following claims are put forward: (1) that what is essential to the psychiatric relationship is what we want it to be for utilitarian reasons; (2) it would not be to our advantage to allow the medicalization of morality; (3) what we should expect from the psychiatrist is prudential advice, not moral advice, and that Lipkin has a confused view about the relationship between these two areas; (...) and (4) we should not allow the psychiatrist to restrict individuals on moral grounds, but only on public safety grounds. (shrink)

Research integrity is fundamental to the validity and reliability of scientific findings, and for ethical conduct of research. As part of PRINTEGER (Promoting Integrity as an Integral Dimension of Excellence in Research), this study explores the views of researchers, research managers, administrators, and governance advisors in Estonia, Italy, Norway and UK, focusing specifically on their understanding of institutional and organisational influences on research integrity.A total of 16 focus groups were conducted. Thematic analysis of the data revealed that competition is (...) pervasive and appeared in most themes relating to integrity. The structural frameworks for research such as funding, evaluation and publication were thought to both protect and, more commonly, undermine integrity. In addition, institutional systems, including workload and research governance, shaped participants’ day-to-day work environment, also affecting research integrity. Participants also provided ideas for promoting research integrity, including training, and creating conditions that would be supportive of research integrity.These findings support a shift away from individual blame and towards the need for structural and institutional changes, including organisations in the wider research environment, for example funding bodies and publishing companies. (shrink)

Traditional whistleblowing theories have purported that whistleblowers engage in a rational process in determining whether or not to blow the whistle on misconduct. However, stressors inherent to whistleblowing often impede rational thinking and act as a barrier to effective whistleblowing. The negative impact of these stressors on whistleblowing may be made worse depending on who engages in the misconduct: a peer or advisor. In the present study, participants are presented with an ethical scenario where either a peer or advisor engages (...) in misconduct, and positive and the negative consequences of whistleblowing are either directed to the wrongdoer, department, or university. Participant responses to case questions were evaluated for whistleblowing intentions, moral intensity, metacognitive reasoning strategies, and positive and negative, active and passive emotions. Findings indicate that participants were less likely to report the observed misconduct of an advisor compared to a peer. Furthermore, the findings also suggest that when an advisor is the source of misconduct, greater negative affect results. Post-hoc analyses were also conducted examining the differences between those who did and did not intend to blow the whistle under the circumstances of either having to report an advisor or peer. The implications of these findings for understanding the complexities involved in whistleblowing are discussed. (shrink)

We conduct an experiment to investigate the joint effects of advisor reassurance and advice source in enhancing the impact of advice on auditors’ whistleblowing propensity. Participants from a Big 4 firm assess the likelihood that a questionable act involving a superior will be reported, both before and after receiving advice. We manipulate, between-participants, the advice source and advisor reassurance on the firm’s policy on whistleblower protection, holding constant the advice recommendation. Our study is underpinned by the premise that moral agents (...) may require an impetus to do the right thing in the form of advice whose effects may vary by its source and nature. Results are consistent with our hypothesis. Specifically, while auditors’ propensity to report a questionable act increases after receiving advice, the increase is significantly higher when the advice is received with reassurance on whistleblower protection than without reassurance, with the effect of reassurance being greater when the advice is from an authoritative source than from a non-authoritative source. These results underscore the importance of advice in promoting whistleblowing and demonstrate how the impact of advice is jointly determined by its source and reassurance on whistleblower protection. (shrink)

Graphene is a nanomaterial with many promising and innovative applications, yet early studies indicate that graphene may pose risks to humans and the environment. According to ideas of responsible research and innovation, all relevant actors should strive to reduce risks related to technological innovations. Through semi-structured interviews, we investigated the idea of graphene as a risk held by two types of key actors: graphene researchers and innovation advisors at universities, where the latter are facilitating the movement of graphene from (...) the laboratory to the marketplace. The most common idea found is that graphene is not a risk due to, e.g., low toxicity, low amounts produced/used, and its similarity to harmless materials. However, some researchers and advisors also say that graphene is a risk, e.g., under certain conditions or due to a lack of risk-related information. We explain the co-existence of these seemingly contradictory ideas through the semantic ambiguity of the word risk and a risk/no-risk rhetoric, where risks are mentioned rhetorically only to be disregarded as manageable or negligible. We suggest that some of the ideas held by the researchers and innovation advisors constitute a challenge to responsible research and innovation regarding graphene. At the same time, we acknowledge the dilemma that the discourse of responsible innovation creates for the actors: denying graphene risks makes them irresponsible due to a lack of risk awareness, while affirming graphene risks makes them irresponsible due to their everyday engagement in graphene development. We therefore recommend more research into what researchers and innovation advisors should do in practice in order to qualify as responsible. (shrink)

STORY L, MAYFIELD‐JOHNSON S, DOWNEY LH, ANDERSON‐LEWIS C, YOUNG R and DAY P. Nursing Inquiry 2010; 17: 373–384 Getting on Target with Community Health Advisors (GOTCHA): an innovative stroke prevention projectHealth disparities along with insufficient numbers of healthcare providers and resources have created a need for effective and efficient grassroots approaches to improve community health. Community‐based participatory research (CBPR), more specifically the utilization of community health advisors (CHAs), is one such strategy. The Getting on Target with Community Health (...) Advisors (GOTCHA) project convened an interdisciplinary team to answer the call from 10 counties in the rural Mississippi Delta area of ‘The Stroke Belt’ to meet the region’s identified health needs, and to impact the health of a disparaged state. This article explores this CBPR project including the community involvement strategies, innovative CHA training curriculum, evaluation plan, and implications to healthcare professionals, particularly nurses. (shrink)

The landscape of graduate science education is changing as efforts to diversify the professoriate have increased because academic faculty jobs at universities have grown scarce and more competitive. With this context as a backdrop, the present research examines the perceptions and career goals of advisors and advisees through surveys of PhD students and faculty mentors in science, technology, engineering, and math disciplines. Study 1 examined actual preferences and career goals of PhD students among three options: research careers, teaching careers, (...) and non-academic careers in industry, and compared the actual preferences of students with what they perceived as being the normative preferences of faculty. Overall, students had mixed preferences but perceived that their advisors had a strong normative preference for research careers for them. Moreover, students who ranked research positions as most desirable felt the most belonging in their academic departments. Further analyses revealed no differences in career preferences as a function of underrepresented minority student status or first-generation status, but URM and FG students felt less belonging in their academic departments. Study 2 examined faculty preferences for different careers for their advisees, both in general and for current students in particular. While faculty advisors preferred students to go into research in general, when focusing on specific students, they saw their preferences as being closely aligned with the career preference of each PhD student. Faculty advisors did not perceive any difference in belonging between their students as a function of their URM status. Discrepancies between student and faculty perceptions may occur, in part, because faculty and students do not engage in sufficient discussions about the wider range of career options beyond academic research. Supporting this possibility, PhD students and faculty advisors reported feeling more comfortable discussing research careers with each other than either non-academic industry positions or teaching positions. Discussion centers on the implications of these findings for interpersonal and institutional efforts to foster diversity in the professoriate and to create open communication about career development. (shrink)

ChatGPT – a large language model – recently passed the U.S. bar exam. The startling rise and power of generative artificial intelligence (AI) systems such as ChatGPT lead us to consider whether and how more specialized systems could be used to overcome existing barriers to the legal system. Such systems could be employed in either of the two major stages of the pursuit of justice: preliminary information gathering and formal engagement with the state’s legal institutions and professionals. We focus on (...) the former and argue that developing and deploying publicly funded AI legal advisors can reduce economic and shame-based cultural barriers to the information-gathering stage of pursuing justice. (shrink)

This article contributes to a growing conversation about the role of numbers in promoting gendered agendas in potentially contradictory ways. Drawing from interviews with gender advisors—the professionals tasked with mainstreaming gender in development projects—in an East African country, I begin from the paradox that gender advisors articulate a strong preference for qualitative data to best capture the lives of the women they aim to assist while voicing a need for quantitative metrics. I demonstrate that gender advisors come (...) to imagine metrics as expeditious bureaucratic tools able to inspire cooperation from otherwise reluctant coworkers. I argue that development organizations are gendered in ways—acutely seen in how advisors struggle, are sidelined, and attempt to advance their goals with numbers—that lead to the utility of valuing quantitative metrics over qualitative ones. I establish two theoretical contributions: Gendered organizations theory is essential to understanding the adoption and globalization of performance metrics, and in an age of evidence-based decision making, the utility of quantified data to garner resources is heightened, rewarding those who adopt quantified knowledge production. I coin the term “the paradox of quantified utility” to describe how these material advantages encourage even skeptics to value quantitative metrics. (shrink)