Anna Lauren Hoffmann

Safety, Robustness & Interpretability · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 37 citations into it
• Safety Research — 34 citations into it; #650 of 5,829 by trust here, #1,068 by citations
• Sociology and Political Science — 32 citations into it; #3,177 of 22,756 by trust here, #6,533 by citations
• AI Ethics, Fairness & Society — 27 citations into it; #80 of 494 by trust here, #162 by citations
• Artificial Intelligence — 21 citations into it
• Social Sciences & Humanities — 15 citations into it; #61 of 309 by trust here, #104 by citations
• Information Systems — 8 citations into it
• Human-Computer Interaction — 7 citations into it

Whom Anna Lauren Hoffmann trusts overall

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

1. Nick Seaver
2. Luke Stark
3. Safiya Umoja Noble
4. R. Gonzales
5. Batya Friedman
6. Helen Nissenbaum
7. Latanya Sweeney
8. Tarleton Gillespie
9. O. Gandy
10. K. Tallbear

Who trusts Anna Lauren Hoffmann overall

1. Luke Stark
2. Ben Green
3. Meg Young
4. Reuben Binns
5. Cynthia L. Bennett
6. Inioluwa Deborah Raji
7. Michael A. Katell
8. Daniel Greene
9. Ben Hutchinson
10. Alice Xiang

Papers from Anna Lauren Hoffmann's perspective

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

1. Equality of Opportunity in Supervised Learning
2. Big Data's Disparate Impact
3. Discrimination in online ad delivery
4. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
5. Sorting Things Out: Classification and Its Consequences
6. Avoiding Discrimination through Causal Reasoning
7. Fairness through awareness
8. The Scored Society: Due Process for Automated Predictions
9. Privacy in Context: Technology, Policy, and the Integrity of Social Life
10. Auditing black-box models for indirect influence

Their papers

• Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse (2019) — 407 citations
• Terms of inclusion: Data, discourse, violence (2020) — 179 citations
• Critical Perspectives on Governance Mechanisms for AI/ML Systems (2020) — 26 citations
• Rawls, Information Technology, and the Sociotechnical Bases of Self-Respect (2020) — 8 citations
• Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning (2019) — 324 citations
• Data, Technology, and Gender : Thinking About (and From) Trans Lives (2017) — 22 citations