Tom LaGatta
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- AI Ethics, Fairness & Society — 9 citations into it
- Safety, Robustness & Interpretability — 8 citations into it
- Safety Research — 7 citations into it
- Sociology and Political Science — 6 citations into it
Whom Tom LaGatta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Indrė Žliobaitė
- Faisal Kamiran
- Salvatore Ruggieri
- Dino Pedreschi
- Andrea Romei
- Toon Calders
- Sara Hajian
Papers from Tom LaGatta's perspective
Ordered by how strongly the researchers Tom LaGatta trusts endorse each paper. Same corpus, a different order for every researcher.
- A multidisciplinary survey on discrimination analysis
- Discrimination-aware data mining
- A survey on measuring indirect discrimination in machine learning
- Quantifying explainable discrimination and removing illegal discrimination in automated decision making
- Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining
- Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
- Integrating induction and deduction for finding evidence of discrimination
- Measuring Discrimination in Socially-Sensitive Decision Records
- Fairness-Aware Classifier with Prejudice Remover Regularizer
- Three naive Bayes approaches for discrimination-free classification