C. Lutz
Sociology and Political Science · Science and Engineering Ethics · 2016–2020
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 54 citations into it
- Safety Research — 38 citations into it; #4,640 of 5,829 by trust here, #3,668 by citations
- Marketing — 31 citations into it
- Artificial Intelligence — 26 citations into it; #30,751 of 35,345 by trust here, #31,361 by citations
- AI Ethics, Fairness & Society — 22 citations into it
- Safety, Robustness & Interpretability — 20 citations into it
- Information Systems — 15 citations into it; #7,498 of 8,771 by trust here, #7,705 by citations
- Human-Computer Interaction — 14 citations into it
Whom C. Lutz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sandra Wachter
- Brent Daniel Mittelstadt
- R. Belk
- Gabriele Paolacci
- Jakko Kemper
- Yochai Benkler
- Nicholas A. John
- Benjamin Edelman
- Rob Kitchin
Who trusts C. Lutz overall
Papers from C. Lutz's perspective
Ordered by how strongly the researchers C. Lutz 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
- Accountability in a computerized society
- An FDA for Algorithms
- Auditing Algorithms : Research Methods for Detecting Discrimination on Internet Platforms
- Too much, too little, or just right? Ways explanations impact end users' mental models
- The role of transparency in recommender systems
- Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability
- 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
- What's mine is yours (for a nominal fee) - Exploring the spectrum of utilitarian to altruistic motives for Internet-mediated sharing (2016) — 299 citations
- Consumer segmentation within the sharing economy: The case of Airbnb (2018) — 284 citations
- Towards Transparency by Design for Artificial Intelligence (2020) — 449 citations