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The ethics of artificial intelligence covers a broad range of topics within the field that are considered to have particular ethical stakes. [1] This includes algorithmic biases, fairness, [2] automated decision-making, accountability, privacy, and regulation.
Technoethics (TE) is an interdisciplinary research area that draws on theories and methods from multiple knowledge domains (such as communications, social sciences, information studies, technology studies, applied ethics, and philosophy) to provide insights on ethical dimensions of technological systems and practices for advancing a technological society.
S. Matthew Liao (born 1972) is a Taiwanese-American philosopher specializing in bioethics and normative ethics.Liao currently holds the Arthur Zitrin Chair of Bioethics, [1] and is the Director of the Center for Bioethics and Affiliated Professor in the Department of Philosophy at New York University. [2]
In other words, in most cases, artificial intelligence is a tool rather than a substitute for labor. As artificial intelligence enters the field of human work, people have gradually discovered that artificial intelligence is incapable of unique tasks, and the advantage of human beings is to understand uniqueness and use tools rationally.
The initiative highlights the importance of sustained AI research and development, ethical standards, workforce training, and the protection of critical AI technologies. [203] This aligns with broader efforts to ensure transparency, accountability, and innovation in AI systems across public and private sectors.
Human Compatible: Artificial Intelligence and the Problem of Control is a 2019 non-fiction book by computer scientist Stuart J. Russell. It asserts that the risk to humanity from advanced artificial intelligence (AI) is a serious concern despite the uncertainty surrounding future progress in AI.
Book cover of the 1979 paperback edition. Hubert Dreyfus was a critic of artificial intelligence research. In a series of papers and books, including Alchemy and AI, What Computers Can't Do (1972; 1979; 1992) and Mind over Machine, he presented a pessimistic assessment of AI's progress and a critique of the philosophical foundations of the field.
Technology researchers typically focus primarily on technical aspects, paying less attention to the ethical impact and ethical considerations of their products. [6] However, researchers from other fields such as psychology and philosophy studied these matters extensively and provided a wealth of methodologies to assess users' well-being, with thousands of quality-of-life assessment methods and ...