Brittany Johnson

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Information Systems — 11 citations into it
• AI Ethics, Fairness & Society — 10 citations into it

Whom Brittany Johnson trusts overall

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

1. Clay Spinuzzi
2. Toon Calders
3. Gordon Fraser
4. Faisal Kamiran
5. Indrė Žliobaitė
6. Sainyam Galhotra
7. Muhammad Bilal Zafar
8. Yuriy Brun

Who trusts Brittany Johnson overall

1. Jie M. Zhang

Papers from Brittany Johnson's perspective

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

1. Three naive Bayes approaches for discrimination-free classification
2. Discrimination in online ad delivery
3. Fairness through awareness
4. Handling Conditional Discrimination
5. Counterfactual Fairness (Neural Information Processing Systems)
6. Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
7. Unequal Representation and Gender Stereotypes in Image Search Results for Occupations
8. Causal inference in statistics: An overview
9. Whole Test Suite Generation (IEEE Transactions on Software Engineering)
10. A Reductions Approach to Fair Classification

Their papers

• Themis: automatically testing software for discrimination (2018) — 89 citations
• Why don't software developers use static analysis tools to find bugs? (2013) — 760 citations