Elizabeth Barnes

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Safety, Robustness & Interpretability — 18 citations into it; #1,776 of 2,251 by trust here, #2,078 by citations
• Safety Research — 10 citations into it
• AI Ethics, Fairness & Society — 7 citations into it
• Sociology and Political Science — 6 citations into it

Whom Elizabeth Barnes trusts overall

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

1. Tom Everitt
2. Steffen L. Lauritzen
3. Koray Mancuhan
4. Lu Zhang

Who trusts Elizabeth Barnes overall

1. Tom Everitt
2. Eric Langlois

Papers from Elizabeth Barnes's perspective

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

1. Reinforcement Learning: An Introduction
2. Information Theory: 1948-1998 - Guest Editorial
3. Counterfactual Fairness (Neural Information Processing Systems)
4. Causal networks: semantics and expressiveness
5. Exposing the probabilistic causal structure of discrimination
6. Anti-discrimination learning: a causal modeling-based framework
7. Sex Bias in Graduate Admissions: Data from Berkeley
8. Avoiding Discrimination through Causal Reasoning
9. Combating discrimination using Bayesian networks
10. Superintelligence: Paths, Dangers, Strategies

Their papers

• Understanding Agent Incentives using Causal Influence Diagrams. Part I: Single Action Settings (2019) — 33 citations