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Medientyp:
E-Artikel
Titel:
The uselessness of AI ethics
Beteiligte:
Munn, Luke
Erschienen:
Springer Science and Business Media LLC, 2023
Erschienen in:
AI and Ethics, 3 (2023) 3, Seite 869-877
Sprache:
Englisch
DOI:
10.1007/s43681-022-00209-w
ISSN:
2730-5961;
2730-5953
Entstehung:
Anmerkungen:
Beschreibung:
<jats:title>Abstract</jats:title><jats:p>As the awareness of AI’s power and danger has risen, the dominant response has been a turn to ethical principles. A flood of AI guidelines and codes of ethics have been released in both the public and private sector in the last several years. However, these are<jats:italic>meaningless principles</jats:italic>which are contested or incoherent, making them difficult to apply; they are<jats:italic>isolated principles</jats:italic>situated in an industry and education system which largely ignores ethics; and they are<jats:italic>toothless principles</jats:italic>which lack consequences and adhere to corporate agendas. For these reasons, I argue that AI ethical principles are useless, failing to mitigate the racial, social, and environmental damages of AI technologies in any meaningful sense. The result is a gap between high-minded principles and technological practice. Even when this gap is acknowledged and principles seek to be “operationalized,” the translation from complex social concepts to technical rulesets is non-trivial. In a zero-sum world, the dominant turn to AI principles is not just fruitless but a dangerous distraction, diverting immense financial and human resources away from potentially more effective activity. I conclude by highlighting alternative approaches to AI justice that go beyond ethical principles: thinking more broadly about systems of oppression and more narrowly about accuracy and auditing.</jats:p>