Vidushi Marda
Safety Research · 2018–2021
A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Safety Research — 20 citations into it; #1,411 of 5,829 by trust here, #3,224 by citations
- AI Ethics, Fairness & Society — 15 citations into it; #155 of 494 by trust here, #414 by citations
- Sociology and Political Science — 14 citations into it; #8,818 of 22,756 by trust here, #20,871 by citations
- Artificial Intelligence — 11 citations into it; #23,528 of 35,345 by trust here, #27,551 by citations
- Social Sciences & Humanities — 10 citations into it; #95 of 309 by trust here, #218 by citations
- Information Systems — 7 citations into it; #2,588 of 8,771 by trust here, #6,501 by citations
- Safety, Robustness & Interpretability — 6 citations into it
Whom Vidushi Marda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew D. Selbst
- Sarah Brayne
- Tarleton Gillespie
- Madeleine Clare Elish
- Solon Barocas
- Pablo Boczkowski
- Andrew Ferguson
- Kristian Lum
- Kate Crawford
- Jon M. Kleinberg
Who trusts Vidushi Marda overall
- Shakir Mohamed
- Divya Ramesh
- Nithya Sambasivan
- Maranke Wieringa
- Marie-Therese Png
- Vaishnav Kameswaran
- Yang Lu
- Corinne Cath
- William S. Isaac
- Erin Arnesen
Papers from Vidushi Marda's perspective
Ordered by how strongly the researchers Vidushi Marda trusts endorse each paper. Same corpus, a different order for every researcher.
- Inherent Trade-Offs in the Fair Determination of Risk Scores
- To predict and serve?
- Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation
- Counterfactual Fairness (Neural Information Processing Systems)
- Disparate Impact in Big Data Policing
- Big Data's Disparate Impact
- Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice
- Policing Predictive Policing
- Big Data Surveillance: The Case of Policing (American Sociological Review)
- A Framework for Understanding Unintended Consequences of Machine Learning
Their papers
- Data in New Delhi's predictive policing system (2020) — 53 citations
- On the importance of ethnographic methods in AI research (2021) — 39 citations
- Artificial Intelligence Governance and Ethics: Global Perspectives (2019) — 76 citations
- Artificial intelligence policy in India: a framework for engaging the limits of data-driven decision-making (2018) — 114 citations