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  1. 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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  • Breaking the filter bubble: democracy and design.Engin Bozdag & Jeroen van den Hoven - 2015 - Ethics and Information Technology 17 (4):249-265.
    It has been argued that the Internet and social media increase the number of available viewpoints, perspectives, ideas and opinions available, leading to a very diverse pool of information. However, critics have argued that algorithms used by search engines, social networking platforms and other large online intermediaries actually decrease information diversity by forming so-called “filter bubbles”. This may form a serious threat to our democracies. In response to this threat others have developed algorithms and digital tools to combat filter bubbles. (...)
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  • Understanding epistemic relevance.Luciano Floridi - 2008 - Erkenntnis 69 (1):69-92.
    Agents require a constant flow, and a high level of processing, of relevant semantic information, in order to interact successfully among themselves and with the environment in which they are embedded. Standard theories of information, however, are silent on the nature of epistemic relevance. In this paper, a subjectivist interpretation of epistemic relevance is developed and defended. It is based on a counterfactual and metatheoretical analysis of the degree of relevance of some semantic information i to an informee/agent a, as (...)
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  • Bias in algorithmic filtering and personalization.Engin Bozdag - 2013 - Ethics and Information Technology 15 (3):209-227.
    Online information intermediaries such as Facebook and Google are slowly replacing traditional media channels thereby partly becoming the gatekeepers of our society. To deal with the growing amount of information on the social web and the burden it brings on the average user, these gatekeepers recently started to introduce personalization features, algorithms that filter information per individual. In this paper we show that these online services that filter information are not merely algorithms. Humans not only affect the design of the (...)
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  • The Moral Problem of Risk Impositions: A Survey of the Literature.Madeleine Hayenhjelm & Jonathan Wolff - 2012 - European Journal of Philosophy 20 (S1):E1-E142.
    This paper surveys the current philosophical discussion of the ethics of risk imposition, placing it in the context of relevant work in psychology, economics and social theory. The central philosophical problem starts from the observation that it is not practically possible to assign people individual rights not to be exposed to risk, as virtually all activity imposes some risk on others. This is the ‘problem of paralysis’. However, the obvious alternative theory that exposure to risk is justified when its total (...)
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  • The construction of personal identities online.Luciano Floridi - 2011 - Minds and Machines 21 (4):477-479.
    Information and communication technologies (ICTs) are building a new habitat (infosphere) in which future generations, living in advanced information societies, will spend an increasing amount of time. This paper introduces a series of articles that explore what constitutes a personal identity online (PIO) and how, as well as to what extent, individuals can learn to create, manage and perceive their PIOs in order to facilitate a healthy and rewarding online experience (onlife).
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  • The method of levels of abstraction.Luciano Floridi - 2008 - Minds and Machines 18 (3):303–329.
    The use of “levels of abstraction” in philosophical analysis (levelism) has recently come under attack. In this paper, I argue that a refined version of epistemological levelism should be retained as a fundamental method, called the method of levels of abstraction. After a brief introduction, in section “Some Definitions and Preliminary Examples” the nature and applicability of the epistemological method of levels of abstraction is clarified. In section “A Classic Application of the Method ofion”, the philosophical fruitfulness of the new (...)
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  • How AI can be a force for good.Mariarosaria Taddeo & Luciano Floridi - 2018 - Science Magazine 361 (6404):751-752.
    This article argues that an ethical framework will help to harness the potential of AI while keeping humans in control.
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  • An Analysis of the Interaction Between Intelligent Software Agents and Human Users.Christopher Burr, Nello Cristianini & James Ladyman - 2018 - Minds and Machines 28 (4):735-774.
    Interactions between an intelligent software agent and a human user are ubiquitous in everyday situations such as access to information, entertainment, and purchases. In such interactions, the ISA mediates the user’s access to the content, or controls some other aspect of the user experience, and is not designed to be neutral about outcomes of user choices. Like human users, ISAs are driven by goals, make autonomous decisions, and can learn from experience. Using ideas from bounded rationality, we frame these interactions (...)
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  • The Moral Problem of Risk Impositions: A Survey of the Literature.Jonathan Wolff Madeleine Hayenhjelm - 2012 - European Journal of Philosophy 20 (S1):26-51.
    This paper surveys the current philosophical discussion of the ethics of risk imposition, placing it in the context of relevant work in psychology, economics and social theory. The central philosophical problem starts from the observation that it is not practically possible to assign people individual rights not to be exposed to risk, as virtually all activity imposes some risk on others. This is the ‘problem of paralysis’. However, the obvious alternative theory that exposure to risk is justified when its total (...)
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  • Identity, profiling algorithms and a world of ambient intelligence.Katja Vries - 2010 - Ethics and Information Technology 12 (1):71-85.
    The tendency towards an increasing integration of the informational web into our daily physical world (in particular in so-called Ambient Intelligent technologies which combine ideas derived from the field of Ubiquitous Computing, Intelligent User Interfaces and Ubiquitous Communication) is likely to make the development of successful profiling and personalization algorithms, like the ones currently used by internet companies such as Amazon, even more important than it is today. I argue that the way in which we experience ourselves necessarily goes through (...)
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  • The Harmful Influence of Decision Theory on Ethics.Sven Ove Hansson - 2010 - Ethical Theory and Moral Practice 13 (5):585-593.
    In the last half century, decision theory has had a deep influence on moral theory. Its impact has largely been beneficial. However, it has also given rise to some problems, two of which are discussed here. First, issues such as risk-taking and risk imposition have been left out of ethics since they are believed to belong to decision theory, and consequently the ethical aspects of these issues have not been treated in either discipline. Secondly, ethics has adopted the decision-theoretical idea (...)
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  • Identity, profiling algorithms and a world of ambient intelligence.Katja de Vries - 2010 - Ethics and Information Technology 12 (1):71-85.
    The tendency towards an increasing integration of the informational web into our daily physical world (in particular in so-called Ambient Intelligent technologies which combine ideas derived from the field of Ubiquitous Computing, Intelligent User Interfaces and Ubiquitous Communication) is likely to make the development of successful profiling and personalization algorithms, like the ones currently used by internet companies such as Amazon , even more important than it is today. I argue that the way in which we experience ourselves necessarily goes (...)
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  • Ten simple rules for responsible big data research.Matthew Zook, Solon Barocas, Danah Boyd, Kate Crawford, Emily Keller, Seeta Peña Gangadharan, Alyssa Goodman, Rachelle Hollander, Barbara A. Koenig, Jacob Metcalf, Arvind Narayanan, Alondra Nelson & Frank Pasquale - 2017 - PLOS Computational Biology 13 (3):e1005399.
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