Ding Wang
Safety Research · with Kameswaran · 2022
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Safety Research — 31 citations into it
- Sociology and Political Science — 15 citations into it
- AI Ethics, Fairness & Society — 10 citations into it
- Information Systems — 9 citations into it
- Social Sciences & Humanities — 5 citations into it
Whom Ding Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ding Wang's perspective
Ordered by how strongly the researchers Ding Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
- How the machine ‘thinks’: Understanding opacity in machine learning algorithms
- Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
- Auditing Algorithms : Research Methods for Detecting Discrimination on Internet Platforms
- Model Cards for Model Reporting
- Datasheets for datasets
- Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse
- Designing Theory-Driven User-Centric Explainable AI
- Explaining Explanations: An Overview of Interpretability of Machine Learning (International Conference on Data Science and Advanced Analytics)
- Media Technologies - Essays on Communication, Materiality, and Society