This category needs an editor. We encourage you to help if you are qualified.
Volunteer, or read more about what this involves.
Related categories

18 found
Order:
  1. AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context.Sarah Bankins, Paul Formosa, Yannick Griep & Deborah Richards - forthcoming - Information Systems Frontiers.
    Using artificial intelligence (AI) to make decisions in human resource management (HRM) raises questions of how fair employees perceive these decisions to be and whether they experience respectful treatment (i.e., interactional justice). In this experimental survey study with open-ended qualitative questions, we examine decision making in six HRM functions and manipulate the decision maker (AI or human) and decision valence (positive or negative) to determine their impact on individuals’ experiences of interactional justice, trust, dehumanization, and perceptions of decision-maker role appropriate- (...)
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  2. The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision Making Systems.Kathleen A. Creel & Deborah Hellman - forthcoming - Canadian Journal of Philosophy:1-18.
    This article examines the complaint that arbitrary algorithmic decisions wrong those whom they affect. It makes three contributions. First, it provides an analysis of what arbitrariness means in this context. Second, it argues that arbitrariness is not of moral concern except when special circumstances apply. However, when the same algorithm or different algorithms based on the same data are used in multiple contexts, a person may be arbitrarily excluded from a broad range of opportunities. The third contribution is to explain (...)
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  3. When Gig Workers Become Essential: Leveraging Customer Moral Self-Awareness Beyond COVID-19.Julian Friedland - forthcoming - Business Horizons 66.
    The COVID-19 pandemic has intensified the extent to which economies in the developed and developing world rely on gig workers to perform essential tasks such as health care, personal transport, food and package delivery, and ad hoc tasking services. As a result, workers who provide such services are no longer perceived as mere low-skilled laborers, but as essential workers who fulfill a crucial role in society. The newly elevated moral and economic status of these workers increases consumer demand for corporate (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  4. Rule by Automation: How Automated Decision Systems Promote Freedom and Equality.Athmeya Jayaram & Jacob Sparks - forthcoming - Moral Philosophy and Politics.
    Using automated systems to avoid the need for human discretion in government contexts – a scenario we call ‘rule by automation’ – can help us achieve the ideal of a free and equal society. Drawing on relational theories of freedom and equality, we explain how rule by automation is a more complete realization of the rule of law and why thinkers in these traditions have strong reasons to support it. Relational theories are based on the absence of human domination and (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  5. Identity and the Limits of Fair Assessment.Rush T. Stewart - forthcoming - Journal of Theoretical Politics.
    In many assessment problems—aptitude testing, hiring decisions, appraisals of the risk of recidivism, evaluation of the credibility of testimonial sources, and so on—the fair treatment of different groups of individuals is an important goal. But individuals can be legitimately grouped in many different ways. Using a framework and fairness constraints explored in research on algorithmic fairness, I show that eliminating certain forms of bias across groups for one way of classifying individuals can make it impossible to eliminate such bias across (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  6. From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse.Emily Sullivan & Philippe Verreault-Julien - forthcoming - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES’22).
    People are increasingly subject to algorithmic decisions, and it is generally agreed that end-users should be provided an explanation or rationale for these decisions. There are different purposes that explanations can have, such as increasing user trust in the system or allowing users to contest the decision. One specific purpose that is gaining more traction is algorithmic recourse. We first pro- pose that recourse should be viewed as a recommendation problem, not an explanation problem. Then, we argue that the capability (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  7. Oxford Handbook of Digital Ethics.Carissa Veliz (ed.) - forthcoming - Oxford University Press.
    The Oxford Handbook of Digital Ethics is a lively and authoritative guide to ethical issues related to digital technologies, with a special emphasis on AI. Philosophers with a wide range of expertise cover thirty-seven topics: from the right to have access to internet, to trolling and online shaming, speech on social media, fake news, sex robots and dating online, persuasive technology, value alignment, algorithmic bias, predictive policing, price discrimination online, medical AI, privacy and surveillance, automating democracy, the future of work, (...)
    Remove from this list   Direct download  
     
    Export citation  
     
    Bookmark  
  8. Medical AI and Human Dignity: Contrasting Perceptions of Human and Artificially Intelligent (AI) Decision Making in Diagnostic and Medical Resource Allocation Contexts.Paul Formosa, Wendy Rogers, Yannick Griep, Sarah Bankins & Deborah Richards - 2022 - Computers in Human Behaviour 133.
    Forms of Artificial Intelligence (AI) are already being deployed into clinical settings and research into its future healthcare uses is accelerating. Despite this trajectory, more research is needed regarding the impacts on patients of increasing AI decision making. In particular, the impersonal nature of AI means that its deployment in highly sensitive contexts-of-use, such as in healthcare, raises issues associated with patients’ perceptions of (un) dignified treatment. We explore this issue through an experimental vignette study comparing individuals’ perceptions of being (...)
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  9. The Limits of Reallocative and Algorithmic Policing.Luke William Hunt - 2022 - Criminal Justice Ethics 41 (1):1-24.
    Policing in many parts of the world—the United States in particular—has embraced an archetypal model: a conception of the police based on the tenets of individuated archetypes, such as the heroic police “warrior” or “guardian.” Such policing has in part motivated moves to (1) a reallocative model: reallocating societal resources such that the police are no longer needed in society (defunding and abolishing) because reform strategies cannot fix the way societal problems become manifest in (archetypal) policing; and (2) an algorithmic (...)
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  10. Algorithms for Ethical Decision-Making in the Clinic: A Proof of Concept.Lukas J. Meier, Alice Hein, Klaus Diepold & Alena Buyx - 2022 - American Journal of Bioethics 22 (7):4-20.
    Machine intelligence already helps medical staff with a number of tasks. Ethical decision-making, however, has not been handed over to computers. In this proof-of-concept study, we show how an algorithm based on Beauchamp and Childress’ prima-facie principles could be employed to advise on a range of moral dilemma situations that occur in medical institutions. We explain why we chose fuzzy cognitive maps to set up the advisory system and how we utilized machine learning to train it. We report on the (...)
    Remove from this list   Direct download (4 more)  
     
    Export citation  
     
    Bookmark   13 citations  
  11. Basic Issues in AI Policy.Vincent C. Müller - 2022 - In Maria Amparo Grau-Ruiz (ed.), Interactive robotics: Legal, ethical, social and economic aspects. Cham: Springer. pp. 3-9.
    This extended abstract summarises some of the basic points of AI ethics and policy as they present themselves now. We explain the notion of AI, the main ethical issues in AI and the main policy aims and means.
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  12. Algorithmic Political Bias in Artificial Intelligence Systems.Uwe Peters - 2022 - Philosophy and Technology 35 (2):1-23.
    Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political orientation can arise in (...)
    Remove from this list   Direct download (4 more)  
    Translate
     
     
    Export citation  
     
    Bookmark  
  13. What Lies Behind AGI: Ethical Concerns Related to LLMs.Giada Pistilli - 2022 - Éthique Et Numérique 1 (1):59-68.
    This paper opens the philosophical debate around the notion of Artificial General Intelligence (AGI) and its application in Large Language Models (LLMs). Through the lens of moral philosophy, the paper raises questions about these AI systems' capabilities and goals, the treatment of humans behind them, and the risk of perpetuating a monoculture through language.
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  14. Shared Decision‐Making and Maternity Care in the Deep Learning Age: Acknowledging and Overcoming Inherited Defeaters.Keith Begley, Cecily Begley & Valerie Smith - 2021 - Journal of Evaluation in Clinical Practice 27 (3):497–503.
    In recent years there has been an explosion of interest in Artificial Intelligence (AI) both in health care and academic philosophy. This has been due mainly to the rise of effective machine learning and deep learning algorithms, together with increases in data collection and processing power, which have made rapid progress in many areas. However, use of this technology has brought with it philosophical issues and practical problems, in particular, epistemic and ethical. In this paper the authors, with backgrounds in (...)
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  15. Machine See, Machine Do: How Technology Mirrors Bias in Our Criminal Justice System.Patrick K. Lin - 2021 - New Degree Press.
    “When today’s technology relies on yesterday’s data, it will simply mirror our past mistakes and biases.” -/- AI and other high-tech tools embed and reinforce America’s history of prejudice and exclusion — even when they are used with the best intentions. Patrick K. Lin’s Machine See, Machine Do: How Technology Mirrors Bias in Our Criminal Justice System takes a deep and thorough look into the use of technology in the criminal justice system, and investigates the instances of coded bias present (...)
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  16. La logique algorithmique confrontée à l'organisation de l'administration publique française.Giada Pistilli - 2021 - Giornale di Filosofia 2 (2):163-169.
    Cet article montre comment la logique algorithmique d’un agent conversationnel peut aider l’organisation des connaissances au sein d’une organisation de l’administration publique française, notamment une collectivité territoriale. Par le bias d’une recherche sur le terrain, je cherche à montrer comment il existe deux différentes adoptions de la technologie de la part de l’administration publique : une complexifiante et une simplifiante.
    Remove from this list   Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark  
  17. A Ghost Workers' Bill of Rights: How to Establish a Fair and Safe Gig Work Platform.Julian Friedland, David Balkin & Ramiro Montealegre - 2020 - California Management Review 62 (2).
    Many of us assume that all the free editing and sorting of online content we ordinarily rely on is carried out by AI algorithms — not human persons. Yet in fact, that is often not the case. This is because human workers remain cheaper, quicker, and more reliable than AI for performing myriad tasks where the right answer turns on ineffable contextual criteria too subtle for algorithms to yet decode. The output of this work is then used for machine learning (...)
    Remove from this list   Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  18. Detecting Racial Bias in Algorithms and Machine Learning.Nicol Turner Lee - 2018 - Journal of Information, Communication and Ethics in Society 16 (3):252-260.
    Purpose The online economy has not resolved the issue of racial bias in its applications. While algorithms are procedures that facilitate automated decision-making, or a sequence of unambiguous instructions, bias is a byproduct of these computations, bringing harm to historically disadvantaged populations. This paper argues that algorithmic biases explicitly and implicitly harm racial groups and lead to forms of discrimination. Relying upon sociological and technical research, the paper offers commentary on the need for more workplace diversity within high-tech industries and (...)
    Remove from this list   Direct download (3 more)  
     
    Export citation  
     
    Bookmark   9 citations