Meg Young
Sociology and Political Science · 2019–2022
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 17 citations into it; #9,327 of 22,756 by trust here, #16,211 by citations
- Safety Research — 12 citations into it
- AI Ethics, Fairness & Society — 10 citations into it; #240 of 494 by trust here, #371 by citations
- Social Sciences & Humanities — 7 citations into it; #139 of 309 by trust here, #218 by citations
Whom Meg Young trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Meg Young overall
- Shakir Mohamed
- Inioluwa Deborah Raji
- Yang Trista Cao
- Marie-Therese Png
- Michael A. Katell
- Jingyi Yang
- William S. Isaac
- Hal Daumé Iii
- Donald Martin
Papers from Meg Young's perspective
Ordered by how strongly the researchers Meg Young trusts endorse each paper. Same corpus, a different order for every researcher.
- Where fairness fails: data, algorithms, and the limits of antidiscrimination discourse
- Race After Technology: Abolitionist Tools for the New Jim Code
- Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
- Feminist HCI: taking stock and outlining an agenda for design (International Conference on Human Factors in Computing Systems)
- Algorithms of oppression: how search engines reinforce racism
- Facial recognition is the plutonium of AI
- Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning
- Dissecting racial bias in an algorithm used to manage the health of populations
- Fairness and Abstraction in Sociotechnical Systems
- Data Science as Political Action: Grounding Data Science in a Politics of Justice
Their papers
- Toward inclusive tech policy design: a method for underrepresented voices to strengthen tech policy documents (2019) — 79 citations
- Confronting Power and Corporate Capture at the FAccT Conference (2022) — 81 citations
- Toward situated interventions for algorithmic equity: lessons from the field (2020) — 165 citations