Joshua A. Kroll

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua A. Kroll trusts overall

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

  1. Andrew D. Selbst
  2. Anthony Dewayne Hunt
  3. Brian Skyrms
  4. Helen Nissenbaum
  5. Solon Barocas
  6. Finale Doshi-Velez
  7. Jenna Burrell
  8. Tim Miller
  9. M. Cummings
  10. David Chaum

Who trusts Joshua A. Kroll overall

  1. Adam S. Hayes
  2. Max J. Krause
  3. Joseph Bonneau
  4. Jessica Morley
  5. Andrew K. Miller
  6. T. Tolaymat
  7. Luciano Floridi
  8. Jae Kwon
  9. J. A. van der Laak
  10. Arvind Narayanan

Papers from Joshua A. Kroll's perspective

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

  1. Big Data's Disparate Impact
  2. Equality of Opportunity in Supervised Learning
  3. Inherent Trade-Offs in the Fair Determination of Risk Scores
  4. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
  5. Fairness through awareness
  6. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  7. Algorithmic Decision Making and the Cost of Fairness
  8. False Positives, False Negatives, and False Analyses: A Rejoinder to "Machine Bias: There's Software Used across the Country to Predict Future Criminals. and It's Biased against Blacks"
  9. Counterfactual Fairness (Neural Information Processing Systems)
  10. Towards A Rigorous Science of Interpretable Machine Learning

Their papers