Karin Jongsma

Artificial Intelligence · 2021

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 Karin Jongsma trusts

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

  1. Cynthia Rudin (in Artificial Intelligence)
  2. R. McDougall (in Health Informatics)
  3. Paul Humphreys (in History and Philosophy of Science)

Papers from Karin Jongsma's perspective

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

  1. Fairness through awareness
  2. A Survey of Methods for Explaining Black Box Models
  3. Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
  4. Dermatologist-level classification of skin cancer with deep neural networks
  5. Verification and Validation in Scientific Computing
  6. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
  7. Predicting the Future — Big Data, Machine Learning, and Clinical Medicine (New England Journal of Medicine)
  8. Computer knows best? The need for value-flexibility in medical AI
  9. Machine learning in medicine: Addressing ethical challenges (PLoS Medicine)
  10. The responsibility gap: Ascribing responsibility for the actions of learning automata (Ethics and Information Technology)

Their papers