Jacob M. Paul

Safety, Robustness & Interpretability · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob M. Paul trusts overall

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

  1. Joy Buolamwini
  2. J. Marc Overhage

Papers from Jacob M. Paul's perspective

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

  1. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  2. Face Recognition Vendor Test (FRVT) - Performance of Automated Gender Classification Algorithms
  3. Experiences with Misgendering: Identity Misclassification of Transgender Spectrum Individuals
  4. The Report of the 2015 U.S. Transgender Survey
  5. Feminist HCI: taking stock and outlining an agenda for design (International Conference on Human Factors in Computing Systems)
  6. Sorting Things Out: Classification and Its Consequences
  7. Racial categories in machine learning
  8. Handbook of Face Recognition, 2nd Edition
  9. Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People
  10. Ongoing face recognition vendor test (FRVT) part 2:

Their papers