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  1. Reconstructing AI Ethics Principles: Rawlsian Ethics of Artificial Intelligence.Salla Westerstrand - 2024 - Science and Engineering Ethics 30 (5):1-21.
    The popularisation of Artificial Intelligence (AI) technologies has sparked discussion about their ethical implications. This development has forced governmental organisations, NGOs, and private companies to react and draft ethics guidelines for future development of ethical AI systems. Whereas many ethics guidelines address values familiar to ethicists, they seem to lack in ethical justifications. Furthermore, most tend to neglect the impact of AI on democracy, governance, and public deliberation. Existing research suggest, however, that AI can threaten key elements of western democracies (...)
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  • “To us, it is still foreign”: AI and the disabled in the Global South.Abdul Rohman & Diem-Trang Vo - forthcoming - AI and Society:1-13.
    Although AI technologies reportedly can address accessibility issues and the risks have been documented, debates around AI have left developing countries and people with disabilities (PwDs) behind. Despite the global marketization of AI technologies, the understanding of AI and disability in developing countries in the Global South remains scant. Through semi-structured interviews with key personnel of disabled people organizations in Indonesia and Vietnam, this study found that a pocket of the disabled viewed AI as formidable but foreign because of the (...)
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  • The relationship between the attitudes of the use of AI and diversity awareness: comparisons between Japan, the US, Germany, and South Korea.Yuko Ikkatai, Yuko Itatsu, Tilman Hartwig, Jooeun Noh, Naohiro Takanashi, Yujin Yaguchi, Kaori Hayashi & Hiromi M. Yokoyama - forthcoming - AI and Society:1-15.
    Recent technological advances have accelerated the use of artificial intelligence (AI) in the world. Public concerns over AI in ethical, legal, and social issues (ELSI) may have been enhanced, but their awareness has not been fully examined between countries and cultures. We created four scenarios regarding the use of AI: “voice,” “recruiting,” “face,” and “immigration,” and compared public concerns in Japan, the US, Germany, and the Republic of Korea (hereafter Korea). Additionally, public ELSI concerns in respect of AI were measured (...)
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  • Does AI Debias Recruitment? Race, Gender, and AI’s “Eradication of Difference”.Eleanor Drage & Kerry Mackereth - 2022 - Philosophy and Technology 35 (4):1-25.
    In this paper, we analyze two key claims offered by recruitment AI companies in relation to the development and deployment of AI-powered HR tools: (1) recruitment AI can objectively assess candidates by removing gender and race from their systems, and (2) this removal of gender and race will make recruitment fairer, help customers attain their DEI goals, and lay the foundations for a truly meritocratic culture to thrive within an organization. We argue that these claims are misleading for four reasons: (...)
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