Bias, Fairness, and Justice
Readings on the normative concepts of bias, fairness, and justice and how they are relevant considerations in data science.
Interactions with World
Producing Objects
Processing Objects as Data
Ordering Data as Models to Represent the World
Interpreting Models as Knowledge
| Title | Citation |
|---|---|
| Are Algorithms Value-Free? | Johnson (2023) |
| Algorithmic Bias: on the Implicit Biases of Social Technology | Johnson (2020) |
| Algorithmic Bias: Senses, Sources, Solutions | Fazelpour & Danks (2021) |
| Fairness | Vredenburgh (2024) |
| Just Machines | Castro (2022) |
| Big Data and Compounding Injustice | Hellman (2023) |
| On the Site of Predictive Justice | Lazar & Stone (forthcoming) |
| Proceed with Caution | Zimmermann & Lee-Stronach (2021) |
| Semantics Derived Automatically from Language Corpora Contain Human-like Biases | Caliskan, Bryson, & Narayanan (2017) |
| The Algorithmic Leviathan: Arbitrariness, Fairness, and Opportunity in Algorithmic Decision-Making Systems | Creel & Hellman (2022) |
| Facebook has been Charged with Housing Discrimination by the US government |
References
Caliskan, A., Bryson, J., & Narayanan, A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, 356, 183–186. https://doi.org/10.1126/science.aal4230
Castro, C. (2022). Just machines. Public Affairs Quarterly, 36(2), 163–183. https://doi.org/10.5406/21520542.36.2.04
Creel, K., & Hellman, D. (2022). The algorithmic leviathan: Arbitrariness, fairness, and opportunity in algorithmic decision-making systems. Canadian Journal of Philosophy, 52(1), 26–43. https://doi.org/10.1017/can.2022.3
Fazelpour, S., & Danks, D. (2021). Algorithmic bias: Senses, sources, solutions. Philosophy Compass, 16(8), e12760. https://doi.org/10.1111/phc3.12760
Hellman, D. (2023). Big data and compounding injustice. Journal of Moral Philosophy, 21(1-2), 62–83. https://doi.org/10.1163/17455243-20234373
Johnson, G. M. (2020). Algorithmic bias: On the implicit biases of social technology. Synthese, 198(10), 9941–9961. https://doi.org/10.1007/s11229-020-02696-y
Johnson, G. M. (2023). Are algorithms value-free? Journal Moral Philosophy, 21(1-2), 1–35. https://doi.org/10.1163/17455243-20234372
Lazar, S., & Stone, J. (forthcoming). On the site of predictive justice. Noûs. Forthcoming. https://doi.org/10.1111/nous.12477
Vredenburgh, K. (2024). Fairness. In The Oxford Handbook of AI Governance. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780197579329.013.8
Zimmermann, A., & Lee-Stronach, C. (2021). Proceed with caution. Canadian Journal of Philosophy, (1), 6–25. https://doi.org/10.1017/can.2021.17