Aaron Hawn

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Safety Research — 15 citations into it
• AI Ethics, Fairness & Society — 10 citations into it
• Sociology and Political Science — 10 citations into it
• Natural Language Processing — 5 citations into it

Whom Aaron Hawn trusts overall

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

1. Ben Green
2. Harini Suresh
3. Moritz Hardt
4. Cynthia Dwork
5. Rachael Tatman
6. Su Lin Blodgett
7. Ronan Le Bras
8. Latanya Sweeney
9. Alexandra Chouldechova
10. John V. Guttag

Papers from Aaron Hawn's perspective

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

1. Equality of Opportunity in Supervised Learning
2. Fairness through awareness
3. ImageNet classification with deep convolutional neural networks
4. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet: A large-scale hierarchical image database
7. Inherent Trade-Offs in the Fair Determination of Risk Scores
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Datasheets for datasets

Their papers

• Algorithmic Bias in Education (2021) — 671 citations