Fairness and abstraction in sociotechnical systems¶
Selbst, A. D., Boyd, Friedler, Venkatasubramanian, & Vertesi, J. (2019). Fairness and abstraction in sociotechnical systems. Proceedings of the Conference on Fairness, Accountability, and Transparency (FAT, 59-68.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Procedural Fairness (Due Process)
- Selbst, Boyd, Friedler, Venkatasubramanian, and Vertesi (2019) extend this by arguing that procedurally meaningful fairness requires drawing the system boundary to include human institutions, contestation pathways, and policy processes—not the model alone.
This sourceIdentifies five "abstraction traps" by which fair-ML formalisms misrepresent the sociotechnical context they aim to govern, and argues that procedurally meaningful fairness requires drawing the system boundary to include human institutions, contestation pathways, and policy processes—not the model alone.
- Selbst, Boyd, Friedler, Venkatasubramanian, and Vertesi (2019) extend this by arguing that procedurally meaningful fairness requires drawing the system boundary to include human institutions, contestation pathways, and policy processes—not the model alone.
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