Christopher Jung, Sampath Kannan, Changhwa Lee, Mallesh M. Pai, Aaron Roth, Rakesh Vohra
arXiv 18 Feb 2020 · Theoretical Economics · 4 citations (OpenAlex)
arXiv:2002.07147 · PDF · DOI · OpenAlex · Extracted main text
There is increasing regulatory interest in whether machine learning algorithms deployed in consequential domains (e.g. in criminal justice) treat different demographic groups "fairly." However, there are several proposed notions of fairness, typically mutually incompatible. Using criminal justice as an example, we study a model in which society chooses an incarceration rule. Agents of different demographic groups differ in their outside options (e.g. opportunity for legal employment) and decide whether to commit crimes. We show that equalizing type I and type II errors across groups is consistent with the goal of minimizing the overall crime rate; other popular notions of fairness are not.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Alexandra Chouldechova (2017) Fair prediction with disparate impact: A study of bias in recidivism prediction instruments | 0.928 | 4 | 3 | 100% |
| 2 | Jon Kleinberg, Sendhil Mullainathan, and Manish Raghavan (2016) Inherent trade-offs in the fair determination of risk scores | 0.928 | 4 | 3 | 100% |
| 3 | Nicola Persico (2002) Racial profiling, fairness, and effectiveness of policing | 0.874 | 7 | 2 | 100% |
| 4 | Sam Corbett-Davies and Sharad Goel (2018) The measure and mismeasure of fairness: A critical review of fair machine learning | 0.644 | 4 | 1 | 100% |
| 5 | Sam Corbett-Davies, Emma Pierson, Avi Feller, Sharad Goel, and Aziz… (2017) Algorithmic decision making and the cost of fairness | 0.644 | 2 | 2 | 100% |
| 6 | Stephen Coate and Glenn C Loury (1993) Will affirmative-action policies eliminate negative stereotypes? | 0.511 | 2 | 1 | 100% |
| 7 | Dean P Foster and Rakesh V Vohra (1992) An economic argument for affirmative action self | 0.511 | 2 | 1 | 100% |
| 8 | Moritz Hardt, Eric Price, and Nati Srebro (2016) Equality of opportunity in supervised learning | 0.511 | 2 | 1 | 100% |
| 9 | Michael F Ferguson and Stephen R Peters (1995) What constitutes evidence of discrimination in lending? | 0.511 | 2 | 1 | 100% |
| 10 | Lydia T Liu, Max Simchowitz, and Moritz Hardt (2019) The implicit fairness criterion of unconstrained learning | 0.511 | 2 | 1 | 100% |
Showing the top 10 of 38 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Quantifying fairness and discrimination in predictive models | 0.511 | 2 | 1 |