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  1. Hypersuasion – On AI’s Persuasive Power and How to Deal with It.Floridi Luciano - 2024 - Philosophy and Technology 37 (2):1-10.
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  • Regulation by Design: Features, Practices, Limitations, and Governance Implications.Kostina Prifti, Jessica Morley, Claudio Novelli & Luciano Floridi - 2024 - Minds and Machines 34 (2):1-23.
    Regulation by design (RBD) is a growing research field that explores, develops, and criticises the regulative function of design. In this article, we provide a qualitative thematic synthesis of the existing literature. The aim is to explore and analyse RBD’s core features, practices, limitations, and related governance implications. To fulfil this aim, we examine the extant literature on RBD in the context of digital technologies. We start by identifying and structuring the core features of RBD, namely the goals, regulators, regulatees, (...)
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  • Ethics-based auditing of automated decision-making systems: intervention points and policy implications.Jakob Mökander & Maria Axente - 2023 - AI and Society 38 (1):153-171.
    Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy and efficiency of decision-making processes, it is also coupled with ethical challenges. Unfortunately, the governance mechanisms currently used to oversee human decision-making often fail when applied to ADMS. In previous work, we proposed that ethics-based auditing (EBA)—that is, a structured process by which ADMS are assessed for consistency with relevant principles or norms—can (a) help organisations (...)
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  • (1 other version)How to design a governable digital health ecosystem.Jessica Morley & Luciano Floridi - manuscript
    It has been suggested that to overcome the challenges facing the UK’s National Health Service (NHS) of an ageing population and reduced available funding, the NHS should be transformed into a more informationally mature and heterogeneous organisation, reliant on data-based and algorithmically-driven interactions between human, artificial, and hybrid (semi-artificial) agents. This transformation process would offer significant benefit to patients, clinicians, and the overall system, but it would also rely on a fundamental transformation of the healthcare system in a way that (...)
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  • Ethics-based auditing of automated decision-making systems: nature, scope, and limitations.Jakob Mökander, Jessica Morley, Mariarosaria Taddeo & Luciano Floridi - 2021 - Science and Engineering Ethics 27 (4):1–30.
    Important decisions that impact humans lives, livelihoods, and the natural environment are increasingly being automated. Delegating tasks to so-called automated decision-making systems can improve efficiency and enable new solutions. However, these benefits are coupled with ethical challenges. For example, ADMS may produce discriminatory outcomes, violate individual privacy, and undermine human self-determination. New governance mechanisms are thus needed that help organisations design and deploy ADMS in ways that are ethical, while enabling society to reap the full economic and social benefits of (...)
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  • The ethics of digital well-being: a thematic review.Christopher Burr, Mariarosaria Taddeo & Luciano Floridi - 2019 - Science and Engineering Ethics 26 (4):2313–⁠2343.
    This article presents the first thematic review of the literature on the ethical issues concerning digital well-being. The term ‘digital well-being’ is used to refer to the impact of digital technologies on what it means to live a life that isgood fora human being. The review explores the existing literature on the ethics of digital well-being, with the goal of mapping the current debate and identifying open questions for future research. The review identifies major issues related to several key social (...)
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  • The ethics of digital well-being: a multidisciplinary perspective.Christopher Burr & Luciano Floridi - 2020 - In Christopher Burr & Luciano Floridi (eds.), Ethics of digital well-being: a multidisciplinary approach. Springer.
    This chapter serves as an introduction to the edited collection of the same name, which includes chapters that explore digital well-being from a range of disciplinary perspectives, including philosophy, psychology, economics, health care, and education. The purpose of this introductory chapter is to provide a short primer on the different disciplinary approaches to the study of well-being. To supplement this primer, we also invited key experts from several disciplines—philosophy, psychology, public policy, and health care—to share their thoughts on what they (...)
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  • The limits of empowerment: how to reframe the role of mHealth tools in the healthcare ecosystem.Jessica Morley & Luciano Floridi - 2020 - Science and Engineering Ethics 26 (3):1159-1183.
    This article highlights the limitations of the tendency to frame health- and wellbeing-related digital tools (mHealth technologies) as empowering devices, especially as they play an increasingly important role in the National Health Service (NHS) in the UK. It argues that mHealth technologies should instead be framed as digital companions. This shift from empowerment to companionship is advocated by showing the conceptual, ethical, and methodological issues challenging the narrative of empowerment, and by arguing that such challenges, as well as the risk (...)
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  • Empowerment or Engagement? Digital Health Technologies for Mental Healthcare.Christopher Burr & Jessica Morley - 2020 - In Christopher Burr & Silvia Milano (eds.), The 2019 Yearbook of the Digital Ethics Lab. Springer Nature. pp. 67-88.
    We argue that while digital health technologies (e.g. artificial intelligence, smartphones, and virtual reality) present significant opportunities for improving the delivery of healthcare, key concepts that are used to evaluate and understand their impact can obscure significant ethical issues related to patient engagement and experience. Specifically, we focus on the concept of empowerment and ask whether it is adequate for addressing some significant ethical concerns that relate to digital health technologies for mental healthcare. We frame these concerns using five key (...)
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  • Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective.Erik Hermann - 2022 - Journal of Business Ethics 179 (1):43-61.
    Artificial intelligence is shaping strategy, activities, interactions, and relationships in business and specifically in marketing. The drawback of the substantial opportunities AI systems and applications provide in marketing are ethical controversies. Building on the literature on AI ethics, the authors systematically scrutinize the ethical challenges of deploying AI in marketing from a multi-stakeholder perspective. By revealing interdependencies and tensions between ethical principles, the authors shed light on the applicability of a purely principled, deontological approach to AI ethics in marketing. To (...)
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  • Beyond the Digital Public Sphere: Towards a Political Ontology of Algorithmic Technologies.Jordi Viader Guerrero - 2024 - Philosophy and Technology 37 (3):1-23.
    The following paper offers a political and philosophical reading of ethically informed technological design practices to critically tackle the implicit regulative ideal in the design of social media as a means to digitally represent the liberal public sphere. The paper proposes that, when it comes to the case of social media platforms, understood along with the machine learning algorithms embedded in them as algorithmic technologies, ethically informed design has an implicit conception of democracy that parallels that of Jürgen Habermas’ procedural (...)
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  • Soft Paternalism and Freedom in the Age of Artificial Intelligence – Through the “tactfulness (融通無碍 Yuzu-Muge)” of 華厳学 Hua-Yan philosophy.Shoko Suzuki - 2023 - Paragrana: Internationale Zeitschrift für Historische Anthropologie 32 (1):247-256.
    Living in an era of technological innovations, we must understand and trust them to benefit from these new technologies. In this context, paternalism is renewed as the so-called “soft-” or “Libertarian paternalism”. How can we face it and ensure freedom in the vortex of wellmeaning advice and persuasion? This paper will discuss 1. the characteristics of freedom since the 18th century from the perspective of the Enlightenment discourse in Germany by Mendelssohn and Kant, 2. the conditions for freedom in the (...)
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  • (2 other versions)The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations.Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo & Luciano Floridi - 2021 - AI and Society:1-25.
    In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and (...)
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  • From what to how: an initial review of publicly available AI ethics tools, methods and research to translate principles into practices.Jessica Morley, Luciano Floridi, Libby Kinsey & Anat Elhalal - 2020 - Science and Engineering Ethics 26 (4):2141-2168.
    The debate about the ethical implications of Artificial Intelligence dates from the 1960s :741–742, 1960; Wiener in Cybernetics: or control and communication in the animal and the machine, MIT Press, New York, 1961). However, in recent years symbolic AI has been complemented and sometimes replaced by Neural Networks and Machine Learning techniques. This has vastly increased its potential utility and impact on society, with the consequence that the ethical debate has gone mainstream. Such a debate has primarily focused on principles—the (...)
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  • Trusting Digital Technologies Correctly.Mariarosaria Taddeo - 2017 - Minds and Machines 27 (4):565-568.
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  • Methods for Practising Ethics in Research and Innovation: A Literature Review, Critical Analysis and Recommendations.Wessel Reijers, David Wright, Philip Brey, Karsten Weber, Rowena Rodrigues, Declan O’Sullivan & Bert Gordijn - 2018 - Science and Engineering Ethics 24 (5):1437-1481.
    This paper provides a systematic literature review, analysis and discussion of methods that are proposed to practise ethics in research and innovation. Ethical considerations concerning the impacts of R&I are increasingly important, due to the quickening pace of technological innovation and the ubiquitous use of the outcomes of R&I processes in society. For this reason, several methods for practising ethics have been developed in different fields of R&I. The paper first of all presents a systematic search of academic sources that (...)
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  • (2 other versions)The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations.Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo & Luciano Floridi - 2023 - AI and Society 38 (1):283-307.
    In this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current understanding of climate change, and it can contribute to combatting the climate crisis effectively. However, the development of AI also raises two sets of problems when considering climate change: the possible exacerbation of social and ethical challenges already associated with AI, and (...)
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  • Serendipity as an emerging design principle of the infosphere: challenges and opportunities.Urbano Reviglio - 2019 - Ethics and Information Technology 21 (2):151-166.
    Underestimated for a long time, serendipity is an increasingly recognized design principle of the infosphere. Being influenced by environmental and human factors, the experience of serendipity encompasses fundamental phases of production, distribution and consumption of information. On the one hand, design information architectures for serendipity increases the diversity of information encountered as well as users’ control over information processes. On the other hand, serendipity is a capability. It helps individuals to internalize and adopt strategies that increase the chances of experiencing (...)
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  • Social influence for societal interest: a pro-ethical framework for improving human decision making through multi-stakeholder recommender systems.Matteo Fabbri - 2023 - AI and Society 38 (2):995-1002.
    In the contemporary digital age, recommender systems (RSs) play a fundamental role in managing information on online platforms: from social media to e-commerce, from travels to cultural consumptions, automated recommendations influence the everyday choices of users at an unprecedented scale. RSs are trained on users’ data to make targeted suggestions to individuals according to their expected preference, but their ultimate impact concerns all the multiple stakeholders involved in the recommendation process. Therefore, whilst RSs are useful to reduce information overload, their (...)
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  • (1 other version)How to Counter Moral Evil: Paideia and Nomos.Luciano Floridi - 2022 - Philosophy and Technology 35 (1):1-5.
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  • SAF: Stakeholders’ Agreement on Fairness in the Practice of Machine Learning Development.Georgina Curto & Flavio Comim - 2023 - Science and Engineering Ethics 29 (4):1-19.
    This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes an end-to-end methodology to translate the ethical principle of justice and fairness into the practice of ML development as an ongoing agreement with stakeholders. The pro-ethical iterative process presented in the paper aims to challenge asymmetric power dynamics in the fairness decision making within ML design and support ML development teams to identify, mitigate and monitor bias at each step of ML systems development. The process (...)
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