Jeffrey Brown

Safety Research · with Andrus · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety Research — 27 citations into it
• Safety, Robustness & Interpretability — 14 citations into it
• Sociology and Political Science — 14 citations into it

Whom Jeffrey Brown trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Anders Lisdorf
2. Sebastian Benthall

Papers from Jeffrey Brown's perspective

Ordered by how strongly the researchers Jeffrey Brown trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fairness Constraints: Mechanisms for Fair Classification
2. Fairness-aware Learning through Regularization Approach
3. Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment
4. Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?
5. Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data
6. Measurement and Fairness
7. Blind Justice: Fairness with Encrypted Sensitive Attributes
8. The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning
9. Using sensitive personal data may be necessary for avoiding discrimination in data-driven decision models
10. Algorithms of Oppression: How Search Engines Reinforce Racism

Their papers

• What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness (2020) — 156 citations