Maranke Wieringa
Safety Research · 2020
A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Safety Research — 30 citations into it; #1,644 of 5,829 by trust here, #4,390 by citations
- Artificial Intelligence — 13 citations into it; #15,343 of 35,345 by trust here, #28,481 by citations
- AI Ethics, Fairness & Society — 11 citations into it
- Information Systems — 11 citations into it; #2,964 of 8,771 by trust here, #6,770 by citations
- Sociology and Political Science — 11 citations into it
- Cognitive Neuroscience — 9 citations into it
- Safety, Robustness & Interpretability — 6 citations into it; #1,014 of 2,251 by trust here, #2,078 by citations
- Computer Science Applications — 5 citations into it
Whom Maranke Wieringa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel Neyland
- Karen Yeung
- Nick Seaver
- Kate Crawford
- Marijn Janssen
- Mathieu Bastian
- Vincent D. Blondel
- Tarleton Gillespie
- George Kuk
- John Danaher
Who trusts Maranke Wieringa overall
Papers from Maranke Wieringa's perspective
Ordered by how strongly the researchers Maranke Wieringa trusts endorse each paper. Same corpus, a different order for every researcher.
- The Black Box Society: The Secret Algorithms That Control Money and Information
- Big Data's Disparate Impact
- Accountable Algorithms
- The Relevance of Algorithms
- Bearing Account-able Witness to the Ethical Algorithmic System
- Bias in computer systems
- The challenges and limits of big data algorithms in technocratic governance
- The Scored Society: Due Process for Automated Predictions
- Gephi: An Open Source Software for Exploring and Manipulating Networks
- How the machine ‘thinks’: Understanding opacity in machine learning algorithms