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  1. 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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  • Social Media and its Negative Impacts on Autonomy.Siavosh Sahebi & Paul Formosa - 2022 - Philosophy and Technology 35 (3):1-24.
    How social media impacts the autonomy of its users is a topic of increasing focus. However, much of the literature that explores these impacts fails to engage in depth with the philosophical literature on autonomy. This has resulted in a failure to consider the full range of impacts that social media might have on autonomy. A deeper consideration of these impacts is thus needed, given the importance of both autonomy as a moral concept and social media as a feature of (...)
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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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  • The Ethics of Online Controlled Experiments (A/B Testing).Andrea Polonioli, Riccardo Ghioni, Ciro Greco, Prathm Juneja, Jacopo Tagliabue, David Watson & Luciano Floridi - 2023 - Minds and Machines 33 (4):667-693.
    Online controlled experiments, also known as A/B tests, have become ubiquitous. While many practical challenges in running experiments at scale have been thoroughly discussed, the ethical dimension of A/B testing has been neglected. This article fills this gap in the literature by introducing a new, soft ethics and governance framework that explicitly recognizes how the rise of an experimentation culture in industry settings brings not only unprecedented opportunities to businesses but also significant responsibilities. More precisely, the article (a) introduces a (...)
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  • Social Media, E‐Health, and Medical Ethics.Mélanie Terrasse, Moti Gorin & Dominic Sisti - 2019 - Hastings Center Report 49 (1):24-33.
    Given the profound influence of social media and emerging evidence of its effects on human behavior and health, bioethicists have an important role to play in the development of professional standards of conduct for health professionals using social media and in the design of online systems themselves. In short, social media is a bioethics issue that has serious implications for medical practice, research, and public health. Here, we inventory several ethical issues across four areas at the intersection of social media (...)
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  • (1 other version)Discovering Psychological Principles by Mining Naturally Occurring Data Sets.Robert L. Goldstone & Gary Lupyan - 2016 - Topics in Cognitive Science 8 (3):548-568.
    The very expertise with which psychologists wield their tools for achieving laboratory control may have had the unwelcome effect of blinding psychologists to the possibilities of discovering principles of behavior without conducting experiments. When creatively interrogated, a diverse range of large, real-world data sets provides powerful diagnostic tools for revealing principles of human judgment, perception, categorization, decision-making, language use, inference, problem solving, and representation. Examples of these data sets include patterns of website links, dictionaries, logs of group interactions, collections of (...)
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  • Corona and value change. The role of social media and emotional contagion.Steffen Steinert - 2020 - Ethics and Information Technology 23 (S1):59-68.
    People share their emotions on social media and evidence suggests that in times of crisis people are especially motivated to post emotional content. The current Coronavirus pandemic is such a crisis. The online sharing of emotional content during the Coronavirus crisis may contribute to societal value change. Emotion sharing via social media could lead to emotional contagion which in turn could facilitate an emotional climate in a society. In turn, the emotional climate of a society can influence society’s value structure. (...)
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  • Wired Emotions: Ethical Issues of Affective Brain–Computer Interfaces.Steffen Steinert & Orsolya Friedrich - 2020 - Science and Engineering Ethics 26 (1):351-367.
    Ethical issues concerning brain–computer interfaces have already received a considerable amount of attention. However, one particular form of BCI has not received the attention that it deserves: Affective BCIs that allow for the detection and stimulation of affective states. This paper brings the ethical issues of affective BCIs in sharper focus. The paper briefly reviews recent applications of affective BCIs and considers ethical issues that arise from these applications. Ethical issues that affective BCIs share with other neurotechnologies are presented and (...)
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  • Neuromarketing: Ethical Implications of its Use and Potential Misuse.Steven J. Stanton, Walter Sinnott-Armstrong & Scott A. Huettel - 2017 - Journal of Business Ethics 144 (4):799-811.
    Neuromarketing is an emerging field in which academic and industry research scientists employ neuroscience techniques to study marketing practices and consumer behavior. The use of neuroscience techniques, it is argued, facilitates a more direct understanding of how brain states and other physiological mechanisms are related to consumer behavior and decision making. Herein, we will articulate common ethical concerns with neuromarketing as currently practiced, focusing on the potential risks to consumers and the ethical decisions faced by companies. We argue that the (...)
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  • Successful failure: what Foucault can teach us about privacy self-management in a world of Facebook and big data.Gordon Hull - 2015 - Ethics and Information Technology 17 (2):89-101.
    The “privacy paradox” refers to the discrepancy between the concern individuals express for their privacy and the apparently low value they actually assign to it when they readily trade personal information for low-value goods online. In this paper, I argue that the privacy paradox masks a more important paradox: the self-management model of privacy embedded in notice-and-consent pages on websites and other, analogous practices can be readily shown to underprotect privacy, even in the economic terms favored by its advocates. The (...)
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  • Performing Platform Governance: Facebook and the Stage Management of Data Relations.Karen Huang & P. M. Krafft - 2024 - Science and Engineering Ethics 30 (2):1-28.
    Controversies surrounding social media platforms have provided opportunities for institutional reflexivity amongst users and regulators on how to understand and govern platforms. Amidst contestation, platform companies have continued to enact projects that draw upon existing modes of privatized governance. We investigate how social media companies have attempted to achieve closure by continuing to set the terms around platform governance. We investigate two projects implemented by Facebook (Meta)—authenticity regulation and privacy controls—in response to the Russian Interference and Cambridge Analytica controversies surrounding (...)
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  • Towards a research ethics of real-world experimentation with emerging technology.Joost Mollen - 2024 - Journal of Responsible Technology 20 (C):100098.
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  • Artificial Intelligence (AI) in Islamic Ethics: Towards Pluralist Ethical Benchmarking for AI.Ezieddin Elmahjub - 2023 - Philosophy and Technology 36 (4):1-24.
    This paper explores artificial intelligence (AI) ethics from an Islamic perspective at a critical time for AI ethical norm-setting. It advocates for a pluralist approach to ethical AI benchmarking. As rapid advancements in AI technologies pose challenges surrounding autonomy, privacy, fairness, and transparency, the prevailing ethical discourse has been predominantly Western or Eurocentric. To address this imbalance, this paper delves into the Islamic ethical traditions to develop a framework that contributes to the global debate on optimal norm setting for designing (...)
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  • The Convergence of Virtual Reality and Social Networks: Threats to Privacy and Autonomy.Fiachra O’Brolcháin, Tim Jacquemard, David Monaghan, Noel O’Connor, Peter Novitzky & Bert Gordijn - 2016 - Science and Engineering Ethics 22 (1):1-29.
    The rapid evolution of information, communication and entertainment technologies will transform the lives of citizens and ultimately transform society. This paper focuses on ethical issues associated with the likely convergence of virtual realities and social networks, hereafter VRSNs. We examine a scenario in which a significant segment of the world’s population has a presence in a VRSN. Given the pace of technological development and the popularity of these new forms of social interaction, this scenario is plausible. However, it brings with (...)
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  • Data Science as Machinic Neoplatonism.Dan McQuillan - 2018 - Philosophy and Technology 31 (2):253-272.
    Data science is not simply a method but an organising idea. Commitment to the new paradigm overrides concerns caused by collateral damage, and only a counterculture can constitute an effective critique. Understanding data science requires an appreciation of what algorithms actually do; in particular, how machine learning learns. The resulting ‘insight through opacity’ drives the observable problems of algorithmic discrimination and the evasion of due process. But attempts to stem the tide have not grasped the nature of data science as (...)
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  • Facebook's Project Aria indicates problems for responsible innovation when broadly deploying AR and other pervasive technology in the Commons.Sally A. Applin & Catherine Flick - 2021 - Journal of Responsible Technology 5:100010.
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  • Human Autonomy at Risk? An Analysis of the Challenges from AI.Carina Prunkl - 2024 - Minds and Machines 34 (3):1-21.
    Autonomy is a core value that is deeply entrenched in the moral, legal, and political practices of many societies. The development and deployment of artificial intelligence (AI) have raised new questions about AI’s impacts on human autonomy. However, systematic assessments of these impacts are still rare and often held on a case-by-case basis. In this article, I provide a conceptual framework that both ties together seemingly disjoint issues about human autonomy, as well as highlights differences between them. In the first (...)
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  • Affekt Macht Netz. Auf dem Weg zu einer Sozialtheorie der Digitalen Gesellschaft (Hg. Breljak/ Mühlhoff/ Slaby).Rainer Mühlhoff, Anja Breljak & Jan Slaby (eds.) - 2019 - Bielefeld: transcript.
    -/- Shitstorms, Hate Speech oder virale Videos, die zum Klicken, Liken, Teilen bewegen: Die vernetzte Gesellschaft ist von Affekten getrieben und bringt selbst ganz neue Affekte hervor. -/- Die Beiträge des Bandes nehmen die medientechnologischen Entwicklungen unserer Zeit in den Blick und untersuchen sie aus der Perspektive einer kritischen Affekt- und Sozialphilosophie. Sie zeigen: Soziale Medien und digitale Plattformen sind nicht nur Räume des Austauschs, sie erschaffen Affektökonomien – und darin liegt auch ihre Macht. Indem sie neue Formen des sozialen (...)
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  • Accessing Online Data for Youth Mental Health Research: Meeting the Ethical Challenges.Elvira Perez Vallejos, Ansgar Koene, Christopher James Carter, Daniel Hunt, Christopher Woodard, Lachlan Urquhart, Aislinn Bergin & Ramona Statache - 2019 - Philosophy and Technology 32 (1):87-110.
    This article addresses the general ethical issues of accessing online personal data for research purposes. The authors discuss the practical aspects of online research with a specific case study that illustrates the ethical challenges encountered when accessing data from Kooth, an online youth web-counselling service. This paper firstly highlights the relevance of a process-based approach to ethics when accessing highly sensitive data and then discusses the ethical considerations and potential challenges regarding the accessing of public data from Digital Mental Health (...)
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  • Facebook Study: A Little Bit Unethical But Worth It?John Kleinsman & Sue Buckley - 2015 - Journal of Bioethical Inquiry 12 (2):179-182.
    Human research involving the use social media raises many of the same issues as medical research. The publication of a paper in June 2014 investigating “emotional contagion” received extensive publicity recently because of the methods used. The approach involved manipulating the “News Feeds” of Facebook users, but the participants were not informed of their involvement in the research and had no opportunity to consent or opt out. Some commentators have argued that although it would have been preferable to obtain informed (...)
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  • Big Data, Surveillance Capitalism, and Precision Medicine: Challenges for Privacy.Mark A. Rothstein - 2021 - Journal of Law, Medicine and Ethics 49 (4):666-676.
    Surveillance capitalism companies, such as Google and Facebook, have substantially increased the amount of information collected, analyzed, and monetized, including health information increasingly used in precision medicine research, thereby presenting great challenges for health privacy.
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  • Virtual and real: Symbolic and natural experiences with social robots.Byron Reeves - 2023 - Behavioral and Brain Sciences 46:e43.
    Interactions with social robots are symbolic experiences guided by the pretense that robots depict real people. But they can also be natural experiences that are direct, automatic, and independent of any thoughtful mapping between what is real and depicted. Both experiences are important, both may apply within the same interaction, and they may vary within a person over time.
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