Lucas Rosenblatt

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Safety Research — 15 citations into it
• Safety, Robustness & Interpretability — 14 citations into it
• AI Ethics, Fairness & Society — 10 citations into it
• Sociology and Political Science — 5 citations into it

Whom Lucas Rosenblatt trusts overall

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

1. Matt J. Kusner
2. Chris Russell
3. Alexandra Chouldechova
4. Joshua R. Loftus
5. Indrė Žliobaitė
6. Silvia Chiappa
7. Pratik Gajane
8. Moritz Hardt
9. Ricardo M. A. Silva
10. Muhammad Bilal Zafar

Papers from Lucas Rosenblatt's perspective

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

1. Equality of Opportunity in Supervised Learning
2. Fairness through awareness
3. Counterfactual Fairness (Neural Information Processing Systems)
4. Inherent Trade-Offs in the Fair Determination of Risk Scores
5. Certifying and Removing Disparate Impact
6. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Discrimination-aware data mining
9. ImageNet classification with deep convolutional neural networks
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Counterfactual Fairness Is Basically Demographic Parity (2022) — 23 citations