Algorithmic Fairness and Statistical Discrimination
Bibliographic Data
| ID | 4775459 |
|---|---|
| Authors | John W Patty (0000-0002-1142-9334, Emory University, corresponding author), Elizabeth Maggie Penn (0000-0002-2018-4367, Emory University) |
| Year | 2023 |
| Volume | 18 |
| Issue | 1 |
| Publication date | 2023-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy Compass (JOURNAL) |
| Journal identifiers | ISSN: 1747-9991 • E-ISSN: 1747-9991 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/phc3.12891 |
| OpenAlex | W4313403008 |
| Language | EN |
| Citations received | 8 |
| References cited | 20 |
Algorithmic fairness is a new interdisciplinary field of study focused on how to measure whether a process, or algorithm, may unintentionally produce unfair outcomes, as well as whether or how the potential unfairness of such processes can be mitigated. Statistical discrimination describes a set of informational issues that can induce rational (i.e., Bayesian) decision-making to lead to unfair outcomes even in the absence of discriminatory intent. In this article, we provide overviews of these two related literatures and draw connections between them. The comparison illustrates both the conflict between rationality and fairness and the importance of endogeneity (e.g., "rational expectations" and "self-fulfilling prophecies") in defining and pursuing fairness. Taken in concert, we argue that the two traditions suggest a value for considering new fairness notions that explicitly account for how the individual characteristics an algorithm intends to measure may change in response to the algorithm
Bayesian probability · Data mining · Endogeneity · Epistemology · Machine learning · Rationality · Computer Science · Decision-Making and Behavioral Economics · Ethics and Social Impacts of AI · Mathematics · Psychology · Psychology of Moral and Emotional Judgment · Artificial Intelligence
ChatGPT versus humans in judging discriminatory scenarios
The algorithmic blind spot
Deference to opaque systems and morally exemplary decisions
Algorithmic decision-making
Perceptions of surveillance
Justice, inclusion, and incentives
Police department design, political pressure, and racial inequality in arrests
Classification algorithms and social outcomes
Algorithmic Fairness
Strategy-proofness and Arrow's conditions
Algorithmic Decision Making and the Cost of Fairness
Manipulation of Voting Schemes
Fair Prediction with Disparate Impact
The Economics of Discrimination
Some Ordinalist-Utilitarian Notes on Rawls's Theory of Justice
Social Choice and Legitimacy
Social Choice and Individual Values
The Impossibility of a Paretian Liberal
Manipulation and Single-Peakedness
Race Discrimination
Evidence on Discrimination in Mortgage Lending
Fairness in Criminal Justice Risk Assessments
| Unique citing works | 8 |
|---|---|
| Citations per year | 2,67 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 8 |