Test-Driven Ethics for Machine Learning.
In: Communications of the ACM, Jg. 67 (2024-05-01), Heft 5, S. 45-47
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Zugriff:
This article details a method for the implementation of ethics in machine learning in organizations involving test-driven development with ethical tests. Topics include the generation of tests, deliberative discourse to reveal unforeseen ethical violations and to include all stakeholders, and the implementation of continual auditing.
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Test-Driven Ethics for Machine Learning.
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Autor/in / Beteiligte Person: | Berente, Nicholas ; Kormylo, Cameron ; Rosenkranz, Christoph |
Zeitschrift: | Communications of the ACM, Jg. 67 (2024-05-01), Heft 5, S. 45-47 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 0001-0782 (print) |
DOI: | 10.1145/3633455 |
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