Jackie Kay

Safety, Robustness & Interpretability · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 27 citations into it
• Safety Research — 19 citations into it
• Sociology and Political Science — 14 citations into it
• Natural Language Processing — 8 citations into it
• AI Ethics, Fairness & Society — 7 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Jackie Kay trusts overall

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

1. Os Keyes

Papers from Jackie Kay's perspective

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

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
3. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
4. Measuring Massive Multitask Language Understanding
5. Fairness Without Demographics in Repeated Loss Minimization
6. False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks"
7. Measurement and Fairness
8. A Survey on Hate Speech Detection using Natural Language Processing
9. Deep Neural Networks Are More Accurate Than Humans at Detecting Sexual Orientation From Facial Images
10. Fairness and Abstraction in Sociotechnical Systems

Their papers

• Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities (2021) — 109 citations