Bias, Fairness, and Justice

Readings on the normative concepts of bias, fairness, and justice and how they are relevant considerations in data science.

Bias, Fairness, and Justice Reading List PDF

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	Brandom (2019)

References

Brandom, R. (2019). Facebook has been charged with housing discrimination by the US government. https://www.theverge.com/2019/3/28/18285178/facebook-hud-lawsuit-fair-housing-discrimination; Oxford University Press.

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