Aurelia Tamó-Larrieux
Safety Research · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Safety Research — 36 citations into it; #4,638 of 5,829 by trust here, #3,668 by citations
- Sociology and Political Science — 30 citations into it
- Artificial Intelligence — 25 citations into it; #30,748 of 35,345 by trust here, #31,361 by citations
- AI Ethics, Fairness & Society — 21 citations into it
- Safety, Robustness & Interpretability — 20 citations into it
- Information Systems — 15 citations into it; #7,437 of 8,771 by trust here, #7,705 by citations
- Law — 11 citations into it
- Human-Computer Interaction — 9 citations into it
Whom Aurelia Tamó-Larrieux trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Aurelia Tamó-Larrieux overall
Papers from Aurelia Tamó-Larrieux's perspective
Ordered by how strongly the researchers Aurelia Tamó-Larrieux trusts endorse each paper. Same corpus, a different order for every researcher.
- The Black Box Society: The Secret Algorithms That Control Money and Information
- Accountability in a computerized society
- An FDA for Algorithms
- Explaining collaborative filtering recommendations
- Auditing Algorithms : Research Methods for Detecting Discrimination on Internet Platforms
- Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability
- Too much, too little, or just right? Ways explanations impact end users' mental models
- The role of transparency in recommender systems
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- "I always assumed that I wasn't really that close to [her]": Reasoning about Invisible Algorithms in News Feeds
Their papers
- Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns (2019) — 367 citations
- Towards Transparency by Design for Artificial Intelligence (2020) — 449 citations