Daniel Greene

Safety, Robustness & Interpretability · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 18 citations into it
• Safety Research — 17 citations into it
• AI Ethics, Fairness & Society — 13 citations into it
• Sociology and Political Science — 13 citations into it

Whom Daniel Greene trusts overall

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

1. Helen Nissenbaum
2. Luke Stark
3. Anna Lauren Hoffmann
4. Batya Friedman
5. Reuben Binns
6. Latanya Sweeney
7. Shaowen Bardzell
8. Safiya Umoja Noble
9. Joy Buolamwini
10. J. Marc Overhage

Who trusts Daniel Greene overall

1. Inioluwa Deborah Raji
2. Ben Green
3. Thilo Hagendorff
4. Anna Lauren Hoffmann
5. Brent Daniel Mittelstadt
6. David Gray Widder

Papers from Daniel Greene's perspective

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

1. Equality of Opportunity in Supervised Learning
2. The Scored Society: Due Process for Automated Predictions
3. Discrimination in online ad delivery
4. Sorting Things Out: Classification and Its Consequences
5. Disparate Impact in Big Data Policing
6. Fairness in Machine Learning: Lessons from Political Philosophy
7. Bias in computer systems
8. Do Artifacts Have Politics?
9. A comparative study of fairness-enhancing interventions in machine learning
10. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Their papers

• Critical Perspectives on Governance Mechanisms for AI/ML Systems (2020) — 26 citations
• Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning (2019) — 324 citations