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  1. Autonomous Cars: In Favor of a Mandatory Ethics Setting.Jan Gogoll & Julian F. Müller - 2017 - Science and Engineering Ethics 23 (3):681-700.
    The recent progress in the development of autonomous cars has seen ethical questions come to the forefront. In particular, life and death decisions regarding the behavior of self-driving cars in trolley dilemma situations are attracting widespread interest in the recent debate. In this essay we want to ask whether we should implement a mandatory ethics setting for the whole of society or, whether every driver should have the choice to select his own personal ethics setting. While the consensus view seems (...)
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  • Towards Responsible Research and Innovation in the Information and Communication Technologies and Security Technologies Fields.Rene Von Schomberg (ed.) - 2011 - Publications Office of the European Union.
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  • States of knowledge: the co-production of science and social order.Sheila Jasanoff (ed.) - 2004 - New York: Routledge.
    In the past twenty years, the field of science and technology studies (S&TS) has made considerable progress toward illuminating the relationship between scientific knowledge and political power. These insights have not yet been synthesized or presented in a form that systematically highlights the connections between S&TS and other social sciences. This timely collection of essays by some of the leading scholars in the field attempts to fill that gap. The book develops the theme of "co-production", showing how scientific knowledge both (...)
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  • The Moral Machine experiment.Edmond Awad, Sohan Dsouza, Richard Kim, Jonathan Schulz, Joseph Henrich, Azim Shariff, Jean-François Bonnefon & Iyad Rahwan - 2018 - Nature 563 (7729):59-64.
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  • AI4People—an ethical framework for a good AI society: opportunities, risks, principles, and recommendations.Luciano Floridi, Josh Cowls, Monica Beltrametti, Raja Chatila, Patrice Chazerand, Virginia Dignum, Christoph Luetge, Robert Madelin, Ugo Pagallo, Francesca Rossi, Burkhard Schafer, Peggy Valcke & Effy Vayena - 2018 - Minds and Machines 28 (4):689-707.
    This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other (...)
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  • Toward an Ethics of AI Assistants: an Initial Framework.John Danaher - 2018 - Philosophy and Technology 31 (4):629-653.
    Personal AI assistants are now nearly ubiquitous. Every leading smartphone operating system comes with a personal AI assistant that promises to help you with basic cognitive tasks: searching, planning, messaging, scheduling and so on. Usage of such devices is effectively a form of algorithmic outsourcing: getting a smart algorithm to do something on your behalf. Many have expressed concerns about this algorithmic outsourcing. They claim that it is dehumanising, leads to cognitive degeneration, and robs us of our freedom and autonomy. (...)
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  • 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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  • What is data ethics?Luciano Floridi & Mariarosaria Taddeo - 2016 - Philosophical Transactions of the Royal Society A 374 (2083):20160360.
    This theme issue has the founding ambition of landscaping Data Ethics as a new branch of ethics that studies and evaluates moral problems related to data (including generation, recording, curation, processing, dissemination, sharing, and use), algorithms (including AI, artificial agents, machine learning, and robots), and corresponding practices (including responsible innovation, programming, hacking, and professional codes), in order to formulate and support morally good solutions (e.g. right conducts or right values). Data Ethics builds on the foundation provided by Computer and Information (...)
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  • Sidetracked by trolleys: Why sacrificial moral dilemmas tell us little (or nothing) about utilitarian judgment.Guy Kahane - 2015 - Social Neuroscience 10 (5):551-560.
    Research into moral decision-making has been dominated by sacrificial dilemmas where, in order to save several lives, it is necessary to sacrifice the life of another person. It is widely assumed that these dilemmas draw a sharp contrast between utilitarian and deontological approaches to morality, and thereby enable us to study the psychological and neural basis of utilitarian judgment. However, it has been previously shown that some sacrificial dilemmas fail to present a genuine contrast between utilitarian and deontological options. Here, (...)
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  • Responsibility for Crashes of Autonomous Vehicles: An Ethical Analysis.Alexander Hevelke & Julian Nida-Rümelin - 2015 - Science and Engineering Ethics 21 (3):619-630.
    A number of companies including Google and BMW are currently working on the development of autonomous cars. But if fully autonomous cars are going to drive on our roads, it must be decided who is to be held responsible in case of accidents. This involves not only legal questions, but also moral ones. The first question discussed is whether we should try to design the tort liability for car manufacturers in a way that will help along the development and improvement (...)
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  • The Ethics of Accident-Algorithms for Self-Driving Cars: an Applied Trolley Problem?Sven Nyholm & Jilles Smids - 2016 - Ethical Theory and Moral Practice 19 (5):1275-1289.
    Self-driving cars hold out the promise of being safer than manually driven cars. Yet they cannot be a 100 % safe. Collisions are sometimes unavoidable. So self-driving cars need to be programmed for how they should respond to scenarios where collisions are highly likely or unavoidable. The accident-scenarios self-driving cars might face have recently been likened to the key examples and dilemmas associated with the trolley problem. In this article, we critically examine this tempting analogy. We identify three important ways (...)
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  • The Future of Transportation: Ethical, Legal, Social and Economic Impacts of Self-driving Vehicles in the Year 2025.Mark Ryan - 2020 - Science and Engineering Ethics 26 (3):1185-1208.
    Self-driving vehicles offer great potential to improve efficiency on roads, reduce traffic accidents, increase productivity, and minimise our environmental impact in the process. However, they have also seen resistance from different groups claiming that they are unsafe, pose a risk of being hacked, will threaten jobs, and increase environmental pollution from increased driving as a result of their convenience. In order to reap the benefits of SDVs, while avoiding some of the many pitfalls, it is important to effectively determine what (...)
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  • (2 other versions)The ethics of crashes with self‐driving cars: A roadmap, II.Sven Nyholm - 2018 - Philosophy Compass 13 (7):e12506.
    Self‐driving cars hold out the promise of being much safer than regular cars. Yet they cannot be 100% safe. Accordingly, we need to think about who should be held responsible when self‐driving cars crash and people are injured or killed. We also need to examine what new ethical obligations might be created for car users by the safety potential of self‐driving cars. The article first considers what lessons might be learned from the growing legal literature on responsibility for crashes with (...)
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  • Legal Necessity, Pareto Efficiency & Justified Killing in Autonomous Vehicle Collisions.Geoff Keeling - 2018 - Ethical Theory and Moral Practice 21 (2):413-427.
    Suppose a driverless car encounters a scenario where harm to at least one person is unavoidable and a choice about how to distribute harms between different persons is required. How should the driverless car be programmed to behave in this situation? I call this the moral design problem. Santoni de Sio defends a legal-philosophical approach to this problem, which aims to bring us to a consensus on the moral design problem despite our disagreements about which moral principles provide the correct (...)
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  • Responsibility and the Moral Phenomenology of Using Self-Driving Cars.Mark Coeckelbergh - 2016 - Applied Artificial Intelligence 30 (8):748-757.
    This paper explores how the phenomenology of using self-driving cars influences conditions for exercising and ascribing responsibility. First, a working account of responsibility is presented, which identifies two classic Aristotelian conditions for responsibility and adds a relational one, and which makes a distinction between responsibility for (what one does) and responsibility to (others). Then, this account is applied to a phenomenological analysis of what happens when we use a self-driving car and participate in traffic. It is argued that self-driving cars (...)
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  • (2 other versions)The ethics of crashes with self‐driving cars: A roadmap, I.Sven Nyholm - 2018 - Philosophy Compass 13 (7):e12507.
    Self‐driving cars hold out the promise of being much safer than regular cars. Yet they cannot be 100% safe. Accordingly, they need to be programmed for how to deal with crash scenarios. Should cars be programmed to always prioritize their owners, to minimize harm, or to respond to crashes on the basis of some other type of principle? The article first discusses whether everyone should have the same “ethics settings.” Next, the oft‐made analogy with the trolley problem is examined. Then (...)
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  • Societal and ethical issues of digitization.Lambèr Royakkers, Jelte Timmer, Linda Kool & Rinie van Est - 2018 - Ethics and Information Technology 20 (2):127-142.
    In this paper we discuss the social and ethical issues that arise as a result of digitization based on six dominant technologies: Internet of Things, robotics, biometrics, persuasive technology, virtual & augmented reality, and digital platforms. We highlight the many developments in the digitizing society that appear to be at odds with six recurring themes revealing from our analysis of the scientific literature on the dominant technologies: privacy, autonomy, security, human dignity, justice, and balance of power. This study shows that (...)
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  • “Strongly Recommended” Revisiting Decisional Privacy to Judge Hypernudging in Self-Tracking Technologies.Marjolein Lanzing - 2019 - Philosophy and Technology 32 (3):549-568.
    This paper explores and rehabilitates the value of decisional privacy as a conceptual tool, complementary to informational privacy, for critiquing personalized choice architectures employed by self-tracking technologies. Self-tracking technologies are promoted and used as a means to self-improvement. Based on large aggregates of personal data and the data of other users, self-tracking technologies offer personalized feedback that nudges the user into behavioral change. The real-time personalization of choice architectures requires continuous surveillance and is a very powerful technology, recently coined as (...)
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