Heike Felzmann
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; #4,639 of 5,829 by trust here, #3,668 by citations
- Sociology and Political Science — 30 citations into it
- Artificial Intelligence — 25 citations into it; #30,750 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; #7,492 of 8,771 by trust here, #7,705 by citations
- Law — 11 citations into it
- Human-Computer Interaction — 9 citations into it
Whom Heike Felzmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sandra Wachter
- Brent Daniel Mittelstadt
- Jakko Kemper
- Rob Kitchin
- Anna Jobin
- Adrian Weller
- Nick Seaver
- David Mascharka
- Motahhare Eslami
- Jenna Burrell
Who trusts Heike Felzmann overall
Papers from Heike Felzmann's perspective
Ordered by how strongly the researchers Heike Felzmann trusts endorse each paper. Same corpus, a different order for every researcher.
- The Black Box Society: The Secret Algorithms That Control Money and Information
- Explaining collaborative filtering recommendations
- The mythos of model interpretability
- Auditing Algorithms : Research Methods for Detecting Discrimination on Internet Platforms
- Accountability in a computerized society
- Big Data's Disparate Impact
- An FDA for Algorithms
- The role of transparency in recommender systems
- Too much, too little, or just right? Ways explanations impact end users' mental models
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
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