What should we do when our ideas of fairness conflict?
M Raghavan - Communications of the ACM, 2023 - dl.acm.org
What Should We Do when Our Ideas of Fairness Conflict? Page 1 key insights ˽ Attempts to
mathematically formalize fairness reveal seemingly reasonable definitions of fairness can be …
mathematically formalize fairness reveal seemingly reasonable definitions of fairness can be …
Fair equality of chances for prediction-based decisions
This article presents a fairness principle for evaluating decision-making based on
predictions: a decision rule is unfair when the individuals directly impacted by the decisions …
predictions: a decision rule is unfair when the individuals directly impacted by the decisions …
Artificial Intelligence, Discrimination, Fairness, and Other Moral Concerns
R Segev - Minds and Machines, 2024 - Springer
Should the input data of artificial intelligence (AI) systems include factors such as race or sex
when these factors may be indicative of morally significant facts? More importantly, is it …
when these factors may be indicative of morally significant facts? More importantly, is it …
Reporting of Fairness Metrics in Clinical Risk Prediction Models: A Call for Change
L Rountree, YT Lin, C Liu, M Salvatore, A Admon… - medRxiv, 2024 - medrxiv.org
Clinical risk prediction models integrated in digitized healthcare systems hold promise for
personalized primary prevention and care. Fairness metrics are important tools for …
personalized primary prevention and care. Fairness metrics are important tools for …
Fairness in ranking under disparate uncertainty
R Rastogi, T Joachims - Proceedings of the 4th ACM Conference on …, 2024 - dl.acm.org
Ranking is a ubiquitous method for focusing the attention of human evaluators on a
manageable subset of options. Its use as part of human decision-making processes ranges …
manageable subset of options. Its use as part of human decision-making processes ranges …
An Operational Perspective to Fairness Interventions: Where and How to Intervene
As AI-based decision systems proliferate, their successful operationalization requires
balancing multiple desiderata: predictive performance, disparity across groups …
balancing multiple desiderata: predictive performance, disparity across groups …
Geospatial disparities: A case study on real estate prices in paris
Driven by an increasing prevalence of trackers, ever more IoT sensors, and the declining
cost of computing power, geospatial information has come to play a pivotal role in …
cost of computing power, geospatial information has come to play a pivotal role in …
The fair chances in algorithmic fairness: a response to Holm
Abstract Holm (Res Publica, 2022. https://link. springer. com/article/10.1007/s11158-022-
09546-3) argues that a class of algorithmic fairness measures, that he refers to as the …
09546-3) argues that a class of algorithmic fairness measures, that he refers to as the …
Does calibration mean what they say it means; or, the reference class problem rises again
L Hu - arXiv preprint arXiv:2412.16769, 2024 - arxiv.org
Discussions of statistical criteria for fairness commonly convey the normative significance of
calibration within groups by invoking what risk scores" mean." On the Same Meaning …
calibration within groups by invoking what risk scores" mean." On the Same Meaning …
What Is Fairness? Philosophical Considerations and Implications For FairML
L Bothmann, K Peters, B Bischl - arXiv preprint arXiv:2205.09622, 2022 - arxiv.org
A growing body of literature in fairness-aware ML (fairML) aspires to mitigate machine
learning (ML)-related unfairness in automated decision making (ADM) by defining metrics …
learning (ML)-related unfairness in automated decision making (ADM) by defining metrics …