Many authors agree that a required characteristic for an AI system in all industries is to be transparent in order to avoid bias, be ethical, ensure autonomy and freedom, and foster self-responsibility (Rességuier & Rodrigues, 2020).
Aug 29, 2022
Characteristics and challenges in the industries towards responsible AI
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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 ...
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 ...
Characteristics and challenges in the industries towards responsible AI: A systematic literature review. External Link. View online source ...
Characteristics and challenges in the industries towards responsible AI: a systematic literature review. Author: Anagnostou, Marianna. Karvounidou, Olga ...
Characteristics and challenges in the industries towards responsible AI: a systematic literature review. International Hellenic University.
Dec 18, 2023 · This paper aims to examine the existing literature on AI Governance. The focus of this study is to analyse the literature to answer key questions.
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Sep 27, 2024 · The results reveal that the global convergence set consists of 22 ethical principles and 15 challenges. Transparency, privacy, accountability, and fairness are ...
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This paper introduces a comprehensive and, to our knowledge, the first unified definition of responsible AI.
Dec 18, 2023 · Ethical challenges, including fairness, transparency, privacy, and trust, are the most discussed in AI governance according to the literature [ ...
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