Hao Fei Cheng
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
- Artificial Intelligence — 12 citations into it
- AI Ethics, Fairness & Society — 7 citations into it
- Safety Research — 5 citations into it
Whom Hao Fei Cheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicholas A. Diakopoulos
- Fan-Yin Tzeng
- Julia Dressel
- Cynthia L. Corritore
- Alexandra Chouldechova
- Sam Corbett-Davies
- Aleks Jakulin
- Adam W. Meade
- Kwan-Liu Ma
- Hany Farid
Who trusts Hao Fei Cheng overall
Papers from Hao Fei Cheng's perspective
Ordered by how strongly the researchers Hao Fei Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- The mythos of model interpretability
- European Union Regulations on Algorithmic Decision-Making and a "Right to Explanation"
- Algorithmic Decision Making and the Cost of Fairness
- Explanation in Artificial Intelligence: Insights from the Social Sciences
- The accuracy, fairness, and limits of predicting recidivism
- ImageNet classification with deep convolutional neural networks
- A case study of algorithm-assisted decision making in child maltreatment hotline screening decisions
- How the machine ‘thinks’: Understanding opacity in machine learning algorithms
- Interacting meaningfully with machine learning systems: Three experiments
- Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Their papers
- Explaining Decision-Making Algorithms through UI: Strategies to Help Non-Expert Stakeholders (2019) — 375 citations