Priya Pathak

Safety, Robustness & Interpretability · 2023

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

Subfields

Whom Priya Pathak trusts

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

  1. Himabindu Lakkaraju (in Safety, Robustness & Interpretability)

Papers from Priya Pathak's perspective

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

  1. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  2. Dissecting racial bias in an algorithm used to manage the health of populations
  3. Nber Working Paper Series Human Decisions and Machine Predictions Human Decisions and Machine Predictions
  4. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
  5. Inherent Trade-Offs in the Fair Determination of Risk Scores
  6. Validation of a modified Early Warning Score in medical admissions.
  7. Algorithmic Decision Making and the Cost of Fairness
  8. The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning
  9. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death.
  10. Word embeddings quantify 100 years of gender and ethnic stereotypes

Their papers