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  1. added 2020-05-01
    Safety Engineering for Artificial General Intelligence.Roman Yampolskiy & Joshua Fox - 2013 - 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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  2. added 2020-03-17
    Consequentialism & Machine Ethics: Towards a Foundational Machine Ethic to Ensure the Right Action of Artificial Moral Agents.Josiah Della Foresta - 2020 - Montreal AI Ethics Institute.
    In this paper, I argue that Consequentialism represents a kind of ethical theory that is the most plausible to serve as a basis for a machine ethic. First, I outline the concept of an artificial moral agent and the essential properties of Consequentialism. Then, I present a scenario involving autonomous vehicles to illustrate how the features of Consequentialism inform agent action. Thirdly, an alternative Deontological approach will be evaluated and the problem of moral conflict discussed. Finally, two bottom-up approaches to (...)
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  3. added 2020-03-14
    Robustness to Fundamental Uncertainty in AGI Alignment.G. G. Worley Iii - 2020 - Journal of Consciousness Studies 27 (1-2):225-241.
    The AGI alignment problem has a bimodal distribution of outcomes with most outcomes clustering around the poles of total success and existential, catastrophic failure. Consequently, attempts to solve AGI alignment should, all else equal, prefer false negatives (ignoring research programs that would have been successful) to false positives (pursuing research programs that will unexpectedly fail). Thus, we propose adopting a policy of responding to points of philosophical and practical uncertainty associated with the alignment problem by limiting and choosing necessary assumptions (...)
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  4. added 2020-03-08
    Who Should Bear the Risk When Self-Driving Vehicles Crash?Antti Kauppinen - forthcoming - Journal of Applied Philosophy.
    The moral importance of liability to harm has so far been ignored in the lively debate about what self-driving vehicles should be programmed to do when an accident is inevitable. But liability matters a great deal to just distribution of risk of harm. While morality sometimes requires simply minimizing relevant harms, this is not so when one party is liable to harm in virtue of voluntarily engaging in activity that foreseeably creates a risky situation, while having reasonable alternatives. On plausible (...)
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  5. added 2020-03-08
    AI Methods in Bioethics.Joshua August Skorburg, Walter Sinnott-Armstrong & Vincent Conitzer - 2020 - American Journal of Bioethics: Empirical Bioethics 1 (11):37-39.
    Commentary about the role of AI in bioethics for the 10th anniversary issue of AJOB: Empirical Bioethics.
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  6. added 2020-03-06
    Technologically Scaffolded Atypical Cognition: The Case of YouTube’s Recommender System.Mark Alfano, Amir Ebrahimi Fard, J. Adam Carter, Peter Clutton & Colin Klein - forthcoming - Synthese.
    YouTube has been implicated in the transformation of users into extremists and conspiracy theorists. The alleged mechanism for this radicalizing process is YouTube’s recommender system, which is optimized to amplify and promote clips that users are likely to watch through to the end. YouTube optimizes for watch-through for economic reasons: people who watch a video through to the end are likely to then watch the next recommended video as well, which means that more advertisements can be served to them. This (...)
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  7. added 2020-02-05
    Mapping Value Sensitive Design Onto AI for Social Good Principles.Steven Umbrello & Ibo van de Poel - manuscript
    Although not much work has been done regarding the practical implementations of AI4SG principles for design, initial first steps provide promising ways forward. This paper proposes that the Value Sensitive Design (VSD) approach to technology design maps symbiotically onto the initially formulated AI4SG principles and that the VSD bolsters these principles by providing designers and engineers a principled approach to incorporating human values into AI systems design. Likewise, it distinguishes several sources of values in AI systems’ design that not only (...)
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  8. added 2020-01-30
    Technological Revolution, Transhumanism, and Social Deliberation: Enhancement or Welfare?Daniel Labrador Montero - 2019 - Handbook of Research on Industrial Advancement in Scientific Knowledge.
    The aim of this chapter is to show some of the assumptions that lie behind transhumanism. The concept of enhancement is analyzed. While, from transhumanism, human welfare depends on the enhancement of human capabilities, here it shall be argued that to begin with, a social debate over what is considered welfare is needed before we can establish what we wish to improve (enhance). This reflection must emphasize the necessity to reflect, ex ante, on what kind of technological development we want, (...)
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  9. added 2020-01-22
    Automated Vehicles and Transportation Justice.Shane Epting - 2019 - Philosophy and Technology 32 (3):389-403.
    Despite numerous ethical examinations of automated vehicles, philosophers have neglected to address how these technologies will affect vulnerable people. To account for this lacuna, researchers must analyze how driverless cars could hinder or help social justice. In addition to thinking through these aspects, scholars must also pay attention to the extensive moral dimensions of automated vehicles, including how they will affect the public, nonhumans, future generations, and culturally significant artifacts. If planners and engineers undertake this task, then they will have (...)
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  10. added 2020-01-22
    A Softwaremodule for an Ethical Elder Care Robot. Design and Implementation.Catrin Misselhorn - 2019 - Ethics in Progress 10 (2):68-81.
    The development of increasingly intelligent and autonomous technologies will eventually lead to these systems having to face morally problematic situations. This is particularly true of artificial systems that are used in geriatric care environments. The goal of this article is to describe how one can approach the design of an elder care robot which is capable of moral decision-making and moral learning. A conceptual design for the development of such a system is provided and the steps that are necessary to (...)
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  11. added 2020-01-22
    A Misdirected Principle with a Catch: Explicability for AI.Scott Robbins - 2019 - Minds and Machines 29 (4):495-514.
    There is widespread agreement that there should be a principle requiring that artificial intelligence be ‘explicable’. Microsoft, Google, the World Economic Forum, the draft AI ethics guidelines for the EU commission, etc. all include a principle for AI that falls under the umbrella of ‘explicability’. Roughly, the principle states that “for AI to promote and not constrain human autonomy, our ‘decision about who should decide’ must be informed by knowledge of how AI would act instead of us” :689–707, 2018). There (...)
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  12. added 2020-01-22
    Ethical Concerns with the Use of Intelligent Assistive Technology: Findings From a Qualitative Study with Professional Stakeholders.Tenzin Wangmo, Mirjam Lipps, Reto W. Kressig & Marcello Ienca - 2019 - BMC Medical Ethics 20 (1):1-11.
    Advances in artificial intelligence, robotics and wearable computing are creating novel technological opportunities for mitigating the global burden of population ageing and improving the quality of care for older adults with dementia and/or age-related disability. Intelligent assistive technology is the umbrella term defining this ever-evolving spectrum of intelligent applications for the older and disabled population. However, the implementation of IATs has been observed to be sub-optimal due to a number of barriers in the translation of novel applications from the designing (...)
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  13. added 2020-01-22
    Robots Like Me: Challenges and Ethical Issues in Aged Care.Ipke Wachsmuth - 2018 - Frontiers in Psychology 9 (432).
    This paper addresses the issue of whether robots could substitute for human care, given the challenges in aged care induced by the demographic change. The use of robots to provide emotional care has raised ethical concerns, e.g., that people may be deceived and deprived of dignity. In this paper it is argued that these concerns might be mitigated and that it may be sufficient for robots to take part in caring when they behave *as if* they care.
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  14. added 2020-01-07
    Autonomous Vehicles, Trolley Problems, and the Law.Stephen S. Wu - 2020 - Ethics and Information Technology 22 (1):1-13.
    Autonomous vehicles have the potential to save tens of thousands of lives, but legal and social barriers may delay or even deter manufacturers from offering fully automated vehicles and thereby cost lives that otherwise could be saved. Moral philosophers use “thought experiments” to teach us about what ethics might say about the ethical behavior of AVs. If a manufacturer designing an AV decided to make what it believes is an ethical choice to save a large group of lives by steering (...)
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  15. added 2020-01-07
    Meaningful Human Control as Reason-Responsiveness: The Case of Dual-Mode Vehicles.Giulio Mecacci & Filippo Santoni de Sio - 2020 - Ethics and Information Technology 22 (2):103-115.
    In this paper, in line with the general framework of value-sensitive design, we aim to operationalize the general concept of “Meaningful Human Control” in order to pave the way for its translation into more specific design requirements. In particular, we focus on the operationalization of the first of the two conditions investigated: the so-called ‘tracking’ condition. Our investigation is led in relation to one specific subcase of automated system: dual-mode driving systems. First, we connect and compare meaningful human control with (...)
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  16. added 2020-01-07
    Clinical Applications of Machine Learning Algorithms: Beyond the Black Box.David S. Watson, Jenny Krutzinna, Ian N. Bruce, Christopher E. M. Griffiths, Iain B. McInnes, Michael R. Barnes & Luciano Floridi - 2019 - British Medical Journal 364:I886.
  17. added 2019-12-21
    Ethical Pitfalls for Natural Language Processing in Psychology.Mark Alfano, Emily Sullivan & Amir Ebrahimi Fard - forthcoming - In Morteza Dehghani & Ryan Boyd (eds.), The Atlas of Language Analysis in Psychology. Guilford Press.
    Knowledge is power. Knowledge about human psychology is increasingly being produced using natural language processing (NLP) and related techniques. The power that accompanies and harnesses this knowledge should be subject to ethical controls and oversight. In this chapter, we address the ethical pitfalls that are likely to be encountered in the context of such research. These pitfalls occur at various stages of the NLP pipeline, including data acquisition, enrichment, analysis, storage, and sharing. We also address secondary uses of the results (...)
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  18. added 2019-12-20
    Será que Hominoids ou Androids Destroem a Terra? — uma revisão de Como Criar Uma Mente (How to Create a Mind) por Ray Kurzweil (2012) (revisão revisada 2019).Michael Richard Starks - 2019 - In Delírios Utópicos Suicidas no Século XXI Filosofia, Natureza Humana e o Colapso da Civilization- Artigos e Comentários 2006-2019 5ª edição. Las Vegas, NV USA: Reality Press. pp. 155-167.
    Alguns anos atrás, cheguei ao ponto onde eu normalmente pode dizer a partir do título de um livro, ou pelo menos a partir dos títulos do capítulo, que tipos de erros filosóficos serão feitas e com que freqüência. No caso de obras nominalmente científicas, estas podem ser largamente restritas a certos capítulos que enceram filosóficos ou tentam tirar conclusões gerais sobre o significado ou significado a longo prazo do trabalho. Normalmente entretanto as matérias científicas do fato são misturado generosa com (...)
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  19. added 2019-12-19
    The Motivations and Risks of Machine Ethics.Stephen Cave, Rune Nyrup, Karina Vold & Adrian Weller - 2019 - Proceedings of the IEEE 107 (3):562-574.
    Many authors have proposed constraining the behaviour of intelligent systems with ‘machine ethics’ to ensure positive social outcomes from the development of such systems. This paper critically analyses the prospects for machine ethics, identifying several inherent limitations. While machine ethics may increase the probability of ethical behaviour in some situations, it cannot guarantee it due to the nature of ethics, the computational limitations of computational agents and the complexity of the world. In addition, machine ethics, even if it were to (...)
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  20. added 2019-11-10
    Responses to Catastrophic AGI Risk: A Survey.Kaj Sotala & Roman V. Yampolskiy - 2015 - Physica Scripta 90.
    Many researchers have argued that humanity will create artificial general intelligence (AGI) within the next twenty to one hundred years. It has been suggested that AGI may inflict serious damage to human well-being on a global scale ('catastrophic risk'). After summarizing the arguments for why AGI may pose such a risk, we review the fieldʼs proposed responses to AGI risk. We consider societal proposals, proposals for external constraints on AGI behaviors and proposals for creating AGIs that are safe due to (...)
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  21. added 2019-10-30
    Digital Psychiatry: Ethical Risks and Opportunities for Public Health and Well-Being.Christopher Burr, Jessica Morley, Mariarosaria Taddeo & Luciano Floridi - 2020 - IEEE Transactions on Technology and Society 1 (1):21-33.
    Common mental health disorders are rising globally, creating a strain on public healthcare systems. This has led to a renewed interest in the role that digital technologies may have for improving mental health outcomes. One result of this interest is the development and use of artificial intelligence for assessing, diagnosing, and treating mental health issues, which we refer to as ‘digital psychiatry’. This article focuses on the increasing use of digital psychiatry outside of clinical settings, in the following sectors: education, (...)
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  22. added 2019-10-20
    Ethics and Risks Between Human and Robotic Interaction.Lin Yu & Shejiao Ding - 2019 - Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 20 (1):134-147.
    Robot is definitely playing important role in human society. Low contact on machine standards is mostly on industrial robot while close contacts are in increasing demand in service robot, etc. The development of robotics with advanced hardware and artificial intelligence provide the possibility with human beings while close contacts raise many new issues on ethics and risks. For interaction, the related technique of perception, cognition and interaction are briefly introduced. For ethics, rules should be given for the robot designers to (...)
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  23. added 2019-10-20
    Should We Be Afraid of Medical AI?Ezio Di Nucci - 2019 - Journal of Medical Ethics 45 (8):556-558.
    I analyse an argument according to which medical artificial intelligence represents a threat to patient autonomy—recently put forward by Rosalind McDougall in the Journal of Medical Ethics. The argument takes the case of IBM Watson for Oncology to argue that such technologies risk disregarding the individual values and wishes of patients. I find three problems with this argument: it confuses AI with machine learning; it misses machine learning’s potential for personalised medicine through big data; it fails to distinguish between evidence-based (...)
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  24. added 2019-10-20
    Artificial Intelligence and International Security: The Long View.Amandeep Singh Gill - 2019 - Ethics and International Affairs 33 (2):169-179.
  25. added 2019-10-04
    Kevin Macnish: The Ethics of Surveillance: An Introduction: Routledge, London and New York, 2018, ISBN 978-1138643796, $45.95.Tony Doyle - 2020 - Ethics and Information Technology 22 (1):39-42.
  26. added 2019-10-04
    Distributive Justice as an Ethical Principle for Autonomous Vehicle Behavior Beyond Hazard Scenarios.Manuel Dietrich & Thomas H. Weisswange - 2019 - Ethics and Information Technology 21 (3):227-239.
    Through modern driver assistant systems, algorithmic decisions already have a significant impact on the behavior of vehicles in everyday traffic. This will become even more prominent in the near future considering the development of autonomous driving functionality. The need to consider ethical principles in the design of such systems is generally acknowledged. However, scope, principles and strategies for their implementations are not yet clear. Most of the current discussions concentrate on situations of unavoidable crashes in which the life of human (...)
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  27. added 2019-10-04
    A Rawlsian Algorithm for Autonomous Vehicles.Derek Leben - 2017 - Ethics and Information Technology 19 (2):107-115.
    Autonomous vehicles must be programmed with procedures for dealing with trolley-style dilemmas where actions result in harm to either pedestrians or passengers. This paper outlines a Rawlsian algorithm as an alternative to the Utilitarian solution. The algorithm will gather the vehicle’s estimation of probability of survival for each person in each action, then calculate which action a self-interested person would agree to if he or she were in an original bargaining position of fairness. I will employ Rawls’ assumption that the (...)
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  28. added 2019-09-26
    Indiscriminate Mass Surveillance and the Public Sphere.Titus Stahl - 2016 - Ethics and Information Technology 18 (1):33-39.
    Recent disclosures suggest that many governments apply indiscriminate mass surveillance technologies that allow them to capture and store a massive amount of communications data belonging to citizens and non-citizens alike. This article argues that traditional liberal critiques of government surveillance that center on an individual right to privacy cannot completely capture the harm that is caused by such surveillance because they ignore its distinctive political dimension. As a complement to standard liberal approaches to privacy, the article develops a critique of (...)
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  29. added 2019-09-03
    چگونه هفت Sociopaths که حکومت چین در حال برنده شدن در جنگ جهانی سه و سه راه برای جلوگیری از آنها.Michael Richard Starks - 2019 - In خودکشی توسط دموکراسی یک موانع برای آمریکا و جهان. Las Vegas, NV USA: Reality Press. pp. 41-45.
    اولین چیزی که ما باید در ذهن داشته باشیم این است که زمانی که گفت که چین می گوید که این یا چین این کار را انجام می دهد ، ما از مردم چین صحبت نمی کنیم ، اما از Sociopaths که کنترل حزب کمونیست چین-چینی ، یعنی هفت قاتلان جامعه سالخورده (SSSSK) از th e کمیته ایستاده از حزب کمونیست چین و یا 25 نفر از اعضای پلی تکنیک و غیره. -/- برنامه های حزب کمونیست برای WW3 و سلطه (...)
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  30. added 2019-08-10
    Privacy Challenges in Smart Homes for People with Dementia and People with Intellectual Disabilities.Fiachra O’Brolcháin & Bert Gordijn - 2019 - Ethics and Information Technology 21 (3):253-265.
    The aim of this paper is to analyse the ethical issues relating to privacy that arise in smart homes designed for people with dementia and for people with intellectual disabilities. We outline five different conceptual perspectives on privacy and detail the ways in which smart home technologies may violate residents’ privacy. We specify these privacy threats in a number of areas and under a variety of conceptions of privacy. Furthermore, we illustrate that informed consent may not provide a solution to (...)
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  31. added 2019-08-10
    Society-in-the-Loop: Programming the Algorithmic Social Contract.Iyad Rahwan - 2018 - Ethics and Information Technology 20 (1):5-14.
    Recent rapid advances in Artificial Intelligence and Machine Learning have raised many questions about the regulatory and governance mechanisms for autonomous machines. Many commentators, scholars, and policy-makers now call for ensuring that algorithms governing our lives are transparent, fair, and accountable. Here, I propose a conceptual framework for the regulation of AI and algorithmic systems. I argue that we need tools to program, debug and maintain an algorithmic social contract, a pact between various human stakeholders, mediated by machines. To achieve (...)
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  32. added 2019-07-29
    Explainable AI is Indispensable in Areas Where Liability is an Issue.Nelson Brochado - manuscript
    What is explainable artificial intelligence and why is it indispensable in areas where liability is an issue?
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  33. added 2019-07-17
    On Social Machines for Algorithmic Regulation.Nello Cristianini & Teresa Scantamburlo - manuscript
    Autonomous mechanisms have been proposed to regulate certain aspects of society and are already being used to regulate business organisations. We take seriously recent proposals for algorithmic regulation of society, and we identify the existing technologies that can be used to implement them, most of them originally introduced in business contexts. We build on the notion of 'social machine' and we connect it to various ongoing trends and ideas, including crowdsourced task-work, social compiler, mechanism design, reputation management systems, and social (...)
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  34. added 2019-07-17
    Machine Decisions and Human Consequences.Teresa Scantamburlo, Andrew Charlesworth & Nello Cristianini - 2019 - In Karen Yeung & Martin Lodge (eds.), Algorithmic Regulation. Oxford: Oxford University Press.
    As we increasingly delegate decision-making to algorithms, whether directly or indirectly, important questions emerge in circumstances where those decisions have direct consequences for individual rights and personal opportunities, as well as for the collective good. A key problem for policymakers is that the social implications of these new methods can only be grasped if there is an adequate comprehension of their general technical underpinnings. The discussion here focuses primarily on the case of enforcement decisions in the criminal justice system, but (...)
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  35. added 2019-06-24
    Unexplainability and Incomprehensibility of Artificial Intelligence.Roman Yampolskiy - manuscript
    Explainability and comprehensibility of AI are important requirements for intelligent systems deployed in real-world domains. Users want and frequently need to understand how decisions impacting them are made. Similarly it is important to understand how an intelligent system functions for safety and security reasons. In this paper, we describe two complementary impossibility results (Unexplainability and Incomprehensibility), essentially showing that advanced AIs would not be able to accurately explain some of their decisions and for the decisions they could explain people would (...)
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  36. added 2019-06-06
    Blay Whitby, Reflections on Artificial Intelligence: The Legal, Moral, and Ethical Dimensions, Exeter, UK: Intellect Books, 1996, 127 Pp., £14.95 , ISBN 1-871516-68-4. [REVIEW]Stacey L. Edgar - 1999 - Minds and Machines 9 (1):133-139.
  37. added 2019-06-05
    Unpredictability of AI.Roman Yampolskiy - manuscript
    The young field of AI Safety is still in the process of identifying its challenges and limitations. In this paper, we formally describe one such impossibility result, namely Unpredictability of AI. We prove that it is impossible to precisely and consistently predict what specific actions a smarter-than-human intelligent system will take to achieve its objectives, even if we know terminal goals of the system. In conclusion, impact of Unpredictability on AI Safety is discussed.
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  38. added 2019-06-05
    Machine Medical Ethics.Simon Peter van Rysewyk & Matthijs Pontier (eds.) - 2014 - Springer.
    In medical settings, machines are in close proximity with human beings: with patients who are in vulnerable states of health, who have disabilities of various kinds, with the very young or very old, and with medical professionals. Machines in these contexts are undertaking important medical tasks that require emotional sensitivity, knowledge of medical codes, human dignity, and privacy. -/- As machine technology advances, ethical concerns become more urgent: should medical machines be programmed to follow a code of medical ethics? What (...)
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  39. added 2019-05-24
    Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.Thomas C. King, Nikita Aggarwal, Mariarosaria Taddeo & Luciano Floridi - 2020 - Science and Engineering Ethics 26 (1):89-120.
    Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and inherently (...)
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  40. added 2019-05-18
    The Ethics of Algorithmic Outsourcing in Everyday Life.John Danaher - forthcoming - In Karen Yeung & Martin Lodge (eds.), Algorithmic Regulation. Oxford, UK: Oxford University Press.
    We live in a world in which ‘smart’ algorithmic tools are regularly used to structure and control our choice environments. They do so by affecting the options with which we are presented and the choices that we are encouraged or able to make. Many of us make use of these tools in our daily lives, using them to solve personal problems and fulfill goals and ambitions. What consequences does this have for individual autonomy and how should our legal and regulatory (...)
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  41. added 2019-05-16
    Simulation Typology and Termination Risks.Alexey Turchin & Roman Yampolskiy - manuscript
    The goal of the article is to explore what is the most probable type of simulation in which humanity lives (if any) and how this affects simulation termination risks. We firstly explore the question of what kind of simulation in which humanity is most likely located based on pure theoretical reasoning. We suggest a new patch to the classical simulation argument, showing that we are likely simulated not by our own descendants, but by alien civilizations. Based on this, we provide (...)
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  42. added 2019-05-15
    Designing AI for Social Good: Seven Essential Factors.Josh Cowls, Thomas C. King, Mariarosaria Taddeo & Luciano Floridi - manuscript
    The idea of Artificial Intelligence for Social Good (henceforth AI4SG) is gaining traction within information societies in general and the AI community in particular. It has the potential to address social problems effectively through the development of AI-based solutions. Yet, to date, there is only limited understanding of what makes AI socially good in theory, what counts as AI4SG in practice, and how to reproduce its initial successes in terms of policies (Cath et al. 2018). This article addresses this gap (...)
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  43. added 2019-04-25
    Literature Review: What Artificial General Intelligence Safety Researchers Have Written About the Nature of Human Values.Alexey Turchin & David Denkenberger - manuscript
    Abstract: The field of artificial general intelligence (AGI) safety is quickly growing. However, the nature of human values, with which future AGI should be aligned, is underdefined. Different AGI safety researchers have suggested different theories about the nature of human values, but there are contradictions. This article presents an overview of what AGI safety researchers have written about the nature of human values, up to the beginning of 2019. 21 authors were overviewed, and some of them have several theories. A (...)
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  44. added 2019-04-24
    Self-Driving Cars and Engineering Ethics: The Need for a System Level Analysis.Jason Borenstein, Joseph R. Herkert & Keith W. Miller - 2019 - Science and Engineering Ethics 25 (2):383-398.
    The literature on self-driving cars and ethics continues to grow. Yet much of it focuses on ethical complexities emerging from an individual vehicle. That is an important but insufficient step towards determining how the technology will impact human lives and society more generally. What must complement ongoing discussions is a broader, system level of analysis that engages with the interactions and effects that these cars will have on one another and on the socio-technical systems in which they are embedded. To (...)
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  45. added 2019-04-22
    AI Alignment Problem: “Human Values” Don’T Actually Exist.Alexey Turchin - manuscript
    Abstract. The main current approach to the AI safety is AI alignment, that is, the creation of AI whose preferences are aligned with “human values.” Many AI safety researchers agree that the idea of “human values” as a constant, ordered sets of preferences is at least incomplete. However, the idea that “humans have values” underlies a lot of thinking in the field; it appears again and again, sometimes popping up as an uncritically accepted truth. Thus, it deserves a thorough deconstruction, (...)
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  46. added 2019-04-09
    Privacy, Transparency, and Accountability in the NSA’s Bulk Metadata Program.Alan Rubel - 2015 - In Adam D. Moore (ed.), Privacy, Security, and Accountability: Ethics, Law, and Policy. London, UK: pp. 183-202.
    Disputes at the intersection of national security, surveillance, civil liberties, and transparency are nothing new, but they have become a particularly prominent part of public discourse in the years since the attacks on the World Trade Center in September 2001. This is in part due to the dramatic nature of those attacks, in part based on significant legal developments after the attacks (classifying persons as “enemy combatants” outside the scope of traditional Geneva protections, legal memos by White House counsel providing (...)
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  47. added 2019-03-25
    Autonomous Weapon Systems, Asymmetrical Warfare, and Myths.Michal Klincewicz - 2018 - Civitas 23.
    Predictions about autonomous weapon systems (AWS) are typically thought to channel fears that drove all the myths about intelligence embodied in matter. One of these is the idea that the technology can get out of control and ultimately lead to horrific consequences, as is the case in Mary Shelley’s classic Frankenstein. Given this, predictions about AWS are sometimes dismissed as science-fiction fear-mongering. This paper considers several analogies between AWS and other weapon systems and ultimately offers an argument that nuclear weapons (...)
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  48. added 2019-03-18
    Ethics of Artificial Intelligence and Robotics.Vincent C. Müller - 2020 - In Edward Zalta (ed.), Stanford Encyclopedia of Philosophy. Palo Alto, Cal.: CSLI, Stanford University. pp. 1-70.
    Artificial intelligence (AI) and robotics are digital technologies that will have significant impact on the development of humanity in the near future. They have raised fundamental questions about what we should do with these systems, what the systems themselves should do, what risks they involve, and how we can control these. - After the Introduction to the field (§1), the main themes (§2) of this article are: Ethical issues that arise with AI systems as objects, i.e., tools made and used (...)
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  49. added 2019-03-14
    Lethal Autonomous Weapons: Designing War Machines with Values.Steven Umbrello - 2019 - Delphi: Interdisciplinary Review of Emerging Technologies 1 (2):30-34.
    Lethal Autonomous Weapons (LAWs) have becomes the subject of continuous debate both at national and international levels. Arguments have been proposed both for the development and use of LAWs as well as their prohibition from combat landscapes. Regardless, the development of LAWs continues in numerous nation-states. This paper builds upon previous philosophical arguments for the development and use of LAWs and proposes a design framework that can be used to ethically direct their development. The conclusion is that the philosophical arguments (...)
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  50. added 2019-02-19
    First Human Upload as AI Nanny.Alexey Turchin - manuscript
    Abstract: As there are no visible ways to create safe self-improving superintelligence, but it is looming, we probably need temporary ways to prevent its creation. The only way to prevent it, is to create special AI, which is able to control and monitor all places in the world. The idea has been suggested by Goertzel in form of AI Nanny, but his Nanny is still superintelligent and not easy to control, as was shown by Bensinger at al. We explore here (...)
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