Fairness in Machine Learning

(44:39)

Definitions of Fairness in Machine Learning | Equal Opportunity, Equalized Odds \u0026 Disparate Impact

(10:32)

Michael Kearns: “Fairness” in Machine Learning

(2:57)

Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds

(19:9)

Fairness in AI – Lessons from Practice with Alex Vaughan, Chief Scientific Officer, Pymetrics

(11:36)

Fairness in AI panel discussion | NeurIPS 2020 | Amazon Science

(42:28)

Fairness in Machine Learning

(1:20:55)

Exploring constructions of merit \u0026 fairness in the University of Oxford’s admissions routes

(1:3:9)

Evaluating fairness in machine learning with PyMC3 - Oliver Laslett

(39:53)

Solar Lighting Example, Exploring Fairness in Machine Learning

(6:20)

Lightning talks: Advances in fairness in AI: From research to practice

(20:46)

Fairness in insurance

(1:16:8)

Rawls - Justice and Fairness in Society

(17:37)

Fairness in the AI Act proposal

(1:11:48)

CACM May 2020 - A Snapshot of the Frontiers of Fairness in Machine Learning

(4:26)

Fairness in Practice: Aspects of Procedural Fairness Webinar

(48:34)

MedAI #58: Fairness in representation learning | Natalie Dullerud

(55:29)

What Really Matters for Fairness in Machine Learning: Delayed Impact and Other Desiderata

(41:56)

Olga Russakovsky - Fairness in visual recognition

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