References

Towards accountability for machine learning datasets; practices from software engineering and infrastructure

Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, & Margaret Mitchell (2021)

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 560-575.

DOI: https://doi.org/10.1145/3442188.3445918

Abstract. Hutchinson et al.'s argument for treating ML datasets as maintained infrastructure with versioning, documentation, and audit trails — borrowing accountability practices from software engineering. Influential in dataset-card and model-card design.

Tags: ai-usability accountability datasets

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