Resolving the Human-Subjects Status of ML's Crowdworkers.
In: Communications of the ACM, Jg. 67 (2024-05-01), Heft 5, S. 52-59
serialPeriodical
Zugriff:
The article focuses on the ethical framework that should govern the interaction of machine learning (ML) researchers and crowdworkers. The authors discuss the current regulations for the treatment of humans in scientific research as detailed in the U.S. Code of Federal Regulations (CFR) and explore how CFR and ML research intersect.
Titel: |
Resolving the Human-Subjects Status of ML's Crowdworkers.
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Autor/in / Beteiligte Person: | Kaushik, Divyansh ; Lipton, Zachary C. ; London, Alex John |
Zeitschrift: | Communications of the ACM, Jg. 67 (2024-05-01), Heft 5, S. 52-59 |
Veröffentlichung: | 2024 |
Medientyp: | serialPeriodical |
ISSN: | 0001-0782 (print) |
DOI: | 10.1145/3641858 |
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