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  1. The Right to be an Exception to Predictions: a Moral Defense of Diversity in Recommendation Systems.Eleonora Viganò - 2023 - Philosophy and Technology 36 (3):1-25.
    Recommendation systems (RSs) predict what the user likes and recommend it to them. While at the onset of RSs, the latter was designed to maximize the recommendation accuracy (i.e., accuracy was their only goal), nowadays many RSs models include diversity in recommendations (which thus is a further goal of RSs). In the computer science community, the introduction of diversity in RSs is justified mainly through economic reasons: diversity increases user satisfaction and, in niche markets, profits.I contend that, first, the economic (...)
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  • Recommender systems for mental health apps: advantages and ethical challenges.Lee Valentine, Simon D’Alfonso & Reeva Lederman - forthcoming - AI and Society.
    Recommender systems assist users in receiving preferred or relevant services and information. Using such technology could be instrumental in addressing the lack of relevance digital mental health apps have to the user, a leading cause of low engagement. However, the use of recommender systems for digital mental health apps, particularly those driven by personal data and artificial intelligence, presents a range of ethical considerations. This paper focuses on considerations particular to the juncture of recommender systems and digital mental health technologies. (...)
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  • The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2021 - AI and Society.
    Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...)
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  • The ethics of algorithms: key problems and solutions.Andreas Tsamados, Nikita Aggarwal, Josh Cowls, Jessica Morley, Huw Roberts, Mariarosaria Taddeo & Luciano Floridi - 2022 - AI and Society 37 (1):215-230.
    Research on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society have been proposed. This article builds on a review of the ethics of algorithms published in 2016, 2016). The goals are to contribute to the debate on the identification and analysis of the ethical implications of algorithms, to provide an updated analysis of epistemic and normative (...)
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  • Achieving a ‘Good AI Society’: Comparing the Aims and Progress of the EU and the US.Huw Roberts, Josh Cowls, Emmie Hine, Francesca Mazzi, Andreas Tsamados, Mariarosaria Taddeo & Luciano Floridi - 2021 - Science and Engineering Ethics 27 (6):1-25.
    Over the past few years, there has been a proliferation of artificial intelligence strategies, released by governments around the world, that seek to maximise the benefits of AI and minimise potential harms. This article provides a comparative analysis of the European Union and the United States’ AI strategies and considers the visions of a ‘Good AI Society’ that are forwarded in key policy documents and their opportunity costs, the extent to which the implementation of each vision is living up to (...)
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  • Artificial intelligence in cyber physical systems.Petar Radanliev, David De Roure, Max Van Kleek, Omar Santos & Uchenna Ani - forthcoming - AI and Society:1-14.
    This article conducts a literature review of current and future challenges in the use of artificial intelligence in cyber physical systems. The literature review is focused on identifying a conceptual framework for increasing resilience with AI through automation supporting both, a technical and human level. The methodology applied resembled a literature review and taxonomic analysis of complex internet of things interconnected and coupled cyber physical systems. There is an increased attention on propositions on models, infrastructures and frameworks of IoT in (...)
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  • Algorithmic abstractions of ‘fashion identity’ and the role of privacy with regard to algorithmic personalisation systems in the fashion domain.Daria Onitiu - 2022 - AI and Society 37 (4):1749-1758.
    This paper delves into the nuances of ‘fashion’ in recommender systems and social media analytics, which shape and define an individual’s perception and self-relationality. Its aim is twofold: first, it supports a different perspective on privacy that focuses on the individual’s process of identity construction considering the social and personal aspects of ‘fashion’. Second, it underlines the limitations of computational models in capturing the diverse meaning of ‘fashion’, whereby the algorithmic prediction of user preferences is based on individual conscious and (...)
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  • A moral analysis of intelligent decision-support systems in diagnostics through the lens of Luciano Floridi’s information ethics.Dmytro Mykhailov - 2021 - Human Affairs 31 (2):149-164.
    Contemporary medical diagnostics has a dynamic moral landscape, which includes a variety of agents, factors, and components. A significant part of this landscape is composed of information technologies that play a vital role in doctors’ decision-making. This paper focuses on the so-called Intelligent Decision-Support System that is widely implemented in the domain of contemporary medical diagnosis. The purpose of this article is twofold. First, I will show that the IDSS may be considered a moral agent in the practice of medicine (...)
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  • Every word you say: algorithmic mediation and implications of data-driven scholarly communication.Luciana Monteiro-Krebs, Bieke Zaman, David Geerts & Sônia Elisa Caregnato - 2023 - AI and Society 38 (2):1003-1012.
    Implications of algorithmic mediation can be studied through the artefact itself, peoples’ practices, and the social/political/economical arrangements that affect and are affected by such interactions. Most studies in Academic social media (ASM) focus on one of these elements at a time, either examining design elements or the users’ behaviour on and perceptions of such platforms. We take a multi-faceted approach using affordances as a lens to analyze practices and arrangements traversed by algorithmic mediation. Following our earlier studies that examined the (...)
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  • Decolonizing AI Ethics: Relational Autonomy as a Means to Counter AI Harms.Sábëlo Mhlambi & Simona Tiribelli - 2023 - Topoi 42 (3):867-880.
    Many popular artificial intelligence (AI) ethics frameworks center the principle of autonomy as necessary in order to mitigate the harms that might result from the use of AI within society. These harms often disproportionately affect the most marginalized within society. In this paper, we argue that the principle of autonomy, as currently formalized in AI ethics, is itself flawed, as it expresses only a mainstream mainly liberal notion of autonomy as rational self-determination, derived from Western traditional philosophy. In particular, we (...)
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  • Blue collar with tie: a human-centered reformulation of the ironies of automation.Norman Meisinger - 2023 - AI and Society 38 (6):2653-2657.
    When Lisanne Bainbridge wrote about counterintuitive consequences of the increasing human–machine interaction, she concentrated on the resulting issues for system performance, stability, and safety. Now, decades later, however, the automized work environment is substantially more pervasive, sophisticated, and interactive. Current advances in machine learning technologies reshape the value, meaning, and future of the human workforce. While the ‘human factor’ still challenges automation system architects, inconspicuously new ironic settings have evolved that only become distinctly evident from a human-centered perspective. This brief (...)
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  • Data identity: privacy and the construction of self.Jens-Erik Mai & Sille Obelitz Søe - 2022 - Synthese 200 (6):1-22.
    This paper argues in favor of a hybrid conception of identity. A common conception of identity in datafied society is a split between a digital self and a real self, which has resulted in concepts such as the data double, algorithmic identity, and data shadows. These data-identity metaphors have played a significant role in the conception of informational privacy as control over information—the control of or restricted access to your digital identity. Through analyses of various data-identity metaphors as well as (...)
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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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  • Autonomous vehicles: from whether and when to where and how.Luciano Floridi - 2019 - Philosophy and Technology 32 (4):569-573.
    The digital revolution, in the form of autonomous driving, is changing the very essence of mobility. This paper discusses four different ways in which these transformations are taking place and argues that public policies and business strategies need to focus on innovating and re-engineering (enveloping) whole environments. Only then will autonomous vehicles become an ordinary – and environmentally sustainable – reality. -/- .
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  • AI and its new winter: from myths to realities.Luciano Floridi - 2020 - Philosophy and Technology 33 (1):1-3.
    An AI winter may be defined as the stage when technology, business, and the media come to terms with what AI can or cannot really do as a technology without exaggeration. Through discussion of previous AI winters, this paper examines the hype cycle (which by turn characterises AI as a social panacea or a nightmare of apocalyptic proportions) and argues that AI should be treated as a normal technology, neither as a miracle nor as a plague, but rather as of (...)
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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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  • Listening to algorithms: The case of self‐knowledge.Casey Doyle - forthcoming - European Journal of Philosophy.
    This paper begins with the thought that there is something out of place about offloading inquiry into one's own mind to AI. The paper's primary goal is to articulate the unease felt when considering cases of doing so. It draws a parallel between the use of algorithms in the criminal law: in both cases one feels entitled to be treated as an exception to a verdict made on the basis of a certain kind of evidence. Then it identifies an account (...)
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  • Automated news recommendation in front of adversarial examples and the technical limits of transparency in algorithmic accountability.Antonin Descampe, Clément Massart, Simon Poelman, François-Xavier Standaert & Olivier Standaert - 2022 - AI and Society 37 (1):67-80.
    Algorithmic decision making is used in an increasing number of fields. Letting automated processes take decisions raises the question of their accountability. In the field of computational journalism, the algorithmic accountability framework proposed by Diakopoulos formalizes this challenge by considering algorithms as objects of human creation, with the goal of revealing the intent embedded into their implementation. A consequence of this definition is that ensuring accountability essentially boils down to a transparency question: given the appropriate reverse-engineering tools, it should be (...)
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  • AI-powered recommender systems and the preservation of personal autonomy.Juan Ignacio del Valle & Francisco Lara - forthcoming - AI and Society:1-13.
    Recommender Systems (RecSys) have been around since the early days of the Internet, helping users navigate the vast ocean of information and the increasingly available options that have been available for us ever since. The range of tasks for which one could use a RecSys is expanding as the technical capabilities grow, with the disruption of Machine Learning representing a tipping point in this domain, as in many others. However, the increase of the technical capabilities of AI-powered RecSys did not (...)
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  • Artificial Intelligence and Autonomy: On the Ethical Dimension of Recommender Systems.Sofia Bonicalzi, Mario De Caro & Benedetta Giovanola - 2023 - Topoi 42 (3):819-832.
    Feasting on a plethora of social media platforms, news aggregators, and online marketplaces, recommender systems (RSs) are spreading pervasively throughout our daily online activities. Over the years, a host of ethical issues have been associated with the diffusion of RSs and the tracking and monitoring of users’ data. Here, we focus on the impact RSs may have on personal autonomy as the most elusive among the often-cited sources of grievance and public outcry. On the grounds of a philosophically nuanced notion (...)
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  • Recomendación del Consejo sobre inteligencia artificial de la OCDE: desigualdad e inclusión.Fabio Morandín-Ahuerma - 2023 - In Principios normativos para una ética de la inteligencia artificial. Puebla, México: Consejo de Ciencia y Tecnología del Estado de Puebla (Concytep). pp. 95-102.
    La “Recomendación del Consejo de la OCDE sobre inteligencia artificial” es un conjunto de directrices y principios para el desarrollo y despliegue de sistemas de IA alineados con los valores y derechos humanos, la transparencia y la rendición de cuentas. Fue adoptada por el Consejo de la Organización para la Cooperación y el Desarrollo Económicos (OCDE) en mayo de 2019 e incluye cinco principios clave para la gobernanza de la IA. Ésta debe beneficiar a las personas y al planeta impul- (...)
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  • Asociación en IA en beneficio de las personas y la sociedad, retos y perspectivas.Fabio Morandín-Ahuerma - 2023 - In Principios normativos para una ética de la inteligencia artificial. Puebla, México: Consejo de Ciencia y Tecnología del Estado de Puebla (Concytep). pp. 115-126.
    La PAI es la “Asociación sobre inteligencia artificial en beneficio de las personas y la sociedad” (Partnership on AI to Benefit People and Society) y es una organización sin fines de lucro con sede en San Francisco, California, que reúne a organizaciones académicas, de la sociedad civil, a empresas tecnológicas y de los medios de comu- nicación para abordar cuestiones sustanciales, básicamente sobre el futuro de la IA, pero también otros importantes retos mundiales como el cambio climático, la alimentación, la (...)
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  • Recommendation Algorithms, a Neglected Opportunity for Public Health.Lê Nguyên Hoang, Louis Faucon & El-Mahdi El-Mhamdi - 2021 - Revue Médecine et Philosophie 4 (2):16-24.
    The public discussion on artificial intelligence for public health often revolves around future applications like drug discovery or personalized medicine. But already deployed artificial intelligence for content recommendation, especially on social networks, arguably plays a far greater role. After all, such algorithms are used on a daily basis by billions of users worldwide. In this paper, we argue that, left unchecked, this enormous influence of recommendation algorithms poses serious risks for public health, e.g., in terms of misinformation and mental health. (...)
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  • The Singular Plurality of Social Goods / La singolare pluralità dei beni sociali.Marco Emilio - 2022 - Dissertation, Université de Neuchâtel
    According to some philosophers and social scientists, mainstream economic theories currently play an unprecedented role in shaping human societies. This phenomenon can be linked to the dissemination of methodological individualism, where common goods are interpreted as reducible to aggregates of individuals' well-being. Nonetheless, some emergent difficulties of economics in coping with global institutional issues have encouraged some authors to revise that paradigm. In the last three decades, there has been a parallel growing philosophical interest in investigating social sciences' epistemological and (...)
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