Policy Briefing

Safety, Robustness & Interpretability · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 6 citations into it
• AI Ethics, Fairness & Society — 5 citations into it
• Artificial Intelligence — 5 citations into it

Whom Policy Briefing trusts overall

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

1. Zachary Chase Lipton
2. Jon M. Kleinberg
3. Tim Miller
4. Adrian Weller
5. Chris Reed
6. R. Caruana
7. Richard A. Berk

Papers from Policy Briefing's perspective

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

1. Inherent Trade-Offs in the Fair Determination of Risk Scores
2. The mythos of model interpretability
3. Fairness in Criminal Justice Risk Assessments: The State of the Art
4. ImageNet classification with deep convolutional neural networks
5. Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission
6. Gradient-based learning applied to document recognition
7. Accountable Algorithms
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Et al
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Explainable AI: the basics POLICY BRIEFING (2019)