Ruotong Wang

Artificial Intelligence · 2019

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 Ruotong Wang trusts overall

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

  1. Nicholas A. Diakopoulos
  2. Fan-Yin Tzeng
  3. Julia Dressel

Papers from Ruotong Wang's perspective

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

  1. The mythos of model interpretability
  2. European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation"
  3. Algorithmic Decision Making and the Cost of Fairness
  4. Explanation in Artificial Intelligence: Insights from the Social Sciences
  5. The accuracy, fairness, and limits of predicting recidivism
  6. A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions
  7. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
  8. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
  9. Interacting meaningfully with machine learning systems: Three experiments
  10. A Roadmap for a Rigorous Science of Interpretability

Their papers