Human Aspects of Machine Learning
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Theory of collective action
How does collective action theory change under different settings? In this work [
], we investigated how different learning algorithms affect collective action.
We showed how the size of the collective has a non-monotonic effect on fair learning algorithms and how the collective can take advantage of biases of learning algorithms
], we investigated how different learning algorithms affect collective action.
We showed how the size of the collective has a non-monotonic effect on fair learning algorithms and how the collective can take advantage of biases of learning algorithms
Members
Publications
Human Aspects of Machine Learning
Empirical Inference
Conference Paper
The Role of Learning Algorithms in Collective Action
Ben-Dov*, O., Fawkes*, J., Samadi, S., Sanyal, A.
Proceedings of the 41st International Conference on Machine Learning (ICML), 235:3443-3461, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024, *equal contribution (Published)
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