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  1. Artificial Intelligence-Based Family Health Education Public Service System.Jingyi Zhao & Guifang Fu - 2022 - Frontiers in Psychology 13.
    Family health education is a must for every family, so that children can be taught how to protect their own health. However, in this era of artificial intelligence, many technical operations based on artificial intelligence are born, so the purpose of this study is to apply artificial intelligence technology to family health education. This paper proposes a fusion of artificial intelligence and IoT technologies. Based on the characteristics of artificial intelligence technology, it combines ZigBee technology and RFID technology in the (...)
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  • The Limits of Deterrence Theory in Cyberspace.Mariarosaria Taddeo - 2018 - Philosophy and Technology 31 (3):339-355.
    In this article, I analyse deterrence theory and argue that its applicability to cyberspace is limited and that these limits are not trivial. They are the consequence of fundamental differences between deterrence theory and the nature of cyber conflicts and cyberspace. The goals of this analysis are to identify the limits of deterrence theory in cyberspace, clear the ground of inadequate approaches to cyber deterrence, and define the conceptual space for a domain-specific theory of cyber deterrence, still to be developed.
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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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  • Nonhuman Value: A Survey of the Intrinsic Valuation of Natural and Artificial Nonhuman Entities.Andrea Owe, Seth D. Baum & Mark Coeckelbergh - 2022 - Science and Engineering Ethics 28 (5):1-29.
    To be intrinsically valuable means to be valuable for its own sake. Moral philosophy is often ethically anthropocentric, meaning that it locates intrinsic value within humans. This paper rejects ethical anthropocentrism and asks, in what ways might nonhumans be intrinsically valuable? The paper answers this question with a wide-ranging survey of theories of nonhuman intrinsic value. The survey includes both moral subjects and moral objects, and both natural and artificial nonhumans. Literatures from environmental ethics, philosophy of technology, philosophy of art, (...)
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  • Data and Temporality in the Spectral City.Nathan A. Olmstead - 2021 - Philosophy and Technology 34 (2):243-263.
    Rapid urbanization has meant that cities around the world must deal with problems like traffic congestion, aging infrastructure, affordable housing, and climate change. Increasingly, policymakers are turning to investments in technology and digital infrastructure to address these problems. Yet the move towards so-called smart cities is not simply responsive, and policymakers increasingly advocate for smart city initiatives as a necessary step towards objective, efficient, and rational governance. This understanding of technological interventions as inherently progressive, however, causes many to overlook the (...)
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  • Data and Temporality in the Spectral City.Nathan A. Olmstead - 2021 - Philosophy and Technology 34 (2):243-263.
    Rapid urbanization has meant that cities around the world must deal with problems like traffic congestion, aging infrastructure, affordable housing, and climate change. Increasingly, policymakers are turning to investments in technology and digital infrastructure to address these problems. Yet the move towards so-called smart cities is not simply responsive, and policymakers increasingly advocate for smart city initiatives as a necessary step towards objective, efficient, and rational governance. This understanding of technological interventions as inherently progressive, however, causes many to overlook the (...)
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  • Data and Temporality in the Spectral City.Nathan A. Olmstead - 2021 - Philosophy and Technology 34 (2):243-263.
    Rapid urbanization has meant that cities around the world must deal with problems like traffic congestion, aging infrastructure, affordable housing, and climate change. Increasingly, policymakers are turning to investments in technology and digital infrastructure to address these problems. Yet the move towards so-called smart cities is not simply responsive, and policymakers increasingly advocate for smart city initiatives as a necessary step towards objective, efficient, and rational governance. This understanding of technological interventions as inherently progressive, however, causes many to overlook the (...)
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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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  • The Making of AI Society: AI Futures Frames in German Political and Media Discourses.Lea Köstler & Ringo Ossewaarde - 2022 - AI and Society 37 (1):249-263.
    In this article, we shed light on the emergence, diffusion, and use of socio-technological future visions. The artificial intelligence future vision of the German federal government is examined and juxtaposed with the respective news media coverage of the German media. By means of a content analysis of frames, it is demonstrated how the German government strategically uses its AI future vision to uphold the status quo. The German media largely adapt the government´s frames and do not integrate alternative future narratives (...)
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  • Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions.Thomas C. King, Nikita Aggarwal, Mariarosaria Taddeo & Luciano Floridi - 2020 - Science and Engineering Ethics 26 (1):89-120.
    Artificial intelligence research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal acts, term in this article AI-Crime. AIC is theoretically feasible thanks to published experiments in automating fraud targeted at social media users, as well as demonstrations of AI-driven manipulation of simulated markets. However, because AIC is still a relatively young and inherently (...)
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  • Employee Perceptions of the Effective Adoption of AI Principles.Stephanie Kelley - 2022 - Journal of Business Ethics 178 (4):871-893.
    This study examines employee perceptions on the effective adoption of artificial intelligence principles in their organizations. 49 interviews were conducted with employees of 24 organizations across 11 countries. Participants worked directly with AI across a range of positions, from junior data scientist to Chief Analytics Officer. The study found that there are eleven components that could impact the effective adoption of AI principles in organizations: communication, management support, training, an ethics office, a reporting mechanism, enforcement, measurement, accompanying technical processes, a (...)
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  • Artificial intelligence with American values and Chinese characteristics: a comparative analysis of American and Chinese governmental AI policies.Emmie Hine & Luciano Floridi - forthcoming - AI and Society:1-22.
    As China and the United States strive to be the primary global leader in AI, their visions are coming into conflict. This is frequently painted as a fundamental clash of civilisations, with evidence based primarily around each country’s current political system and present geopolitical tensions. However, such a narrow view claims to extrapolate into the future from an analysis of a momentary situation, ignoring a wealth of historical factors that influence each country’s prevailing philosophy of technology and thus their overarching (...)
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  • Translating Principles Into Practices of Digital Ethics: Five Risks of Being Unethical.Luciano Floridi - 2019 - Philosophy and Technology 32 (2):185-193.
    Modern digital technologies—from web-based services to Artificial Intelligence (AI) solutions—increasingly affect the daily lives of billions of people. Such innovation brings huge opportunities, but also concerns about design, development, and deployment of digital technologies. This article identifies and discusses five clusters of risk in the international debate about digital ethics: ethics shopping; ethics bluewashing; ethics lobbying; ethics dumping; and ethics shirking.
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  • The European Legislation on AI: A Brief Analysis of its Philosophical Approach.Luciano Floridi - 2021 - Philosophy and Technology 34 (2):215–⁠222.
    On 21 April 2021, the European Commission published the proposal of the new EU Artificial Intelligence Act (AIA) — one of the most influential steps taken so far to regulate AI internationally. This article highlights some foundational aspects of the Act and analyses the philosophy behind its proposal.
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  • The Dream of Transcending the Human Through the Digital Matrix: A Relational Critique.Pierpaolo Donati - 2019 - Scientia et Fides 7 (2):171-193.
    The advent of the digital era brings with it the dream of ‘transcending the human’ through the most sophisticated AI / robot technologies. The Author argues that the concept and practices of ‘transcendence’ are deeply ambiguous, since on the one hand they simply aim to overcome the weaknesses, limits and fragility of the human, while on the other hand they modify the human by selecting its specific qualities and its causal properties in a way to generate beings ‘other than human.’ (...)
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  • Artificial Intelligence Regulation: A Framework for Governance.Patricia Gomes Rêgo de Almeida, Carlos Denner dos Santos & Josivania Silva Farias - 2021 - Ethics and Information Technology 23 (3):505-525.
    This article develops a conceptual framework for regulating Artificial Intelligence that encompasses all stages of modern public policy-making, from the basics to a sustainable governance. Based on a vast systematic review of the literature on Artificial Intelligence Regulation published between 2010 and 2020, a dispersed body of knowledge loosely centred around the “framework” concept was organised, described, and pictured for better understanding. The resulting integrative framework encapsulates 21 prior depictions of the policy-making process, aiming to achieve gold-standard societal values, such (...)
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  • Deep Learning-Based Intelligent Robot in Sentencing.Xuan Chen - 2022 - Frontiers in Psychology 13.
    This work aims to explore the application of deep learning-based artificial intelligence technology in sentencing, to promote the reform and innovation of the judicial system. First, the concept and the principles of sentencing are introduced, and the deep learning model of intelligent robot in trials is proposed. According to related concepts, the issues that need to be solved in artificial intelligence sentencing based on deep learning are introduced. The deep learning model is integrated into the intelligent robot system, to assist (...)
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  • Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence.Alexander Buhmann & Christian Fieseler - forthcoming - Business Ethics Quarterly:1-34.
    Responsible innovation in artificial intelligence calls for public deliberation: well-informed “deep democratic” debate that involves actors from the public, private, and civil society sectors in joint efforts to critically address the goals and means of AI. Adopting such an approach constitutes a challenge, however, due to the opacity of AI and strong knowledge boundaries between experts and citizens. This undermines trust in AI and undercuts key conditions for deliberation. We approach this challenge as a problem of situating the knowledge of (...)
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  • Exploring Secondary School Students’ Stances on the Predictive and Explanatory Power of Science.Berry Billingsley & Mehdi Nassaji - 2019 - Science & Education 28 (1-2):87-107.
    There are widespread calls for school education to put more emphasis on developing students’ appreciation of the power and limitations of science. Without effective teaching, there is a risk that sensationalist media claims will unduly influence students’ perceptions of the power of science to already explain and predict aspects of our daily lives. Secondly, schools have a role in preparing students for a future in which they are likely to work and play alongside increasingly humanlike machines. The study reported here (...)
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  • Characteristics and Challenges in the Industries Towards Responsible AI: A Systematic Literature Review.Marianna Anagnostou, Olga Karvounidou, Chrysovalantou Katritzidaki, Christina Kechagia, Kyriaki Melidou, Eleni Mpeza, Ioannis Konstantinidis, Eleni Kapantai, Christos Berberidis, Ioannis Magnisalis & Vassilios Peristeras - 2022 - Ethics and Information Technology 24 (3).
    Today humanity is in the midst of the massive expansion of new and fundamental technology, represented by advanced artificial intelligence systems. The ongoing revolution of these technologies and their profound impact across various sectors, has triggered discussions about the characteristics and values that should guide their use and development in a responsible manner. In this paper, we conduct a systematic literature review with the aim of pointing out existing challenges and required principles in AI-based systems in different industries. We discuss (...)
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