William S. Isaac
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 11 papers; trusts 34 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 348 citations into it; #22,328 of 35,345 by trust here, #1,619 by citations
- Safety, Robustness & Interpretability — 227 citations into it; #1,225 of 2,251 by trust here, #278 by citations
- Sociology and Political Science — 118 citations into it
- Safety Research — 111 citations into it; #2,701 of 5,829 by trust here, #707 by citations
- AI Ethics, Fairness & Society — 84 citations into it
- Social Sciences & Humanities — 72 citations into it
- Information Systems — 57 citations into it
- Human-Computer Interaction — 36 citations into it
Whom William S. Isaac trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Demetra Andrews
- Kentaro Toyama
- Silvia Chiappa
- Kristian Lum
- Philip E. Agre
- John R. Clark
- D. Harvey
- Meg Young
- Alexandra Chouldechova
- Timnit Gebru
Who trusts William S. Isaac overall
Papers from William S. Isaac's perspective
Ordered by how strongly the researchers William S. Isaac trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
- Et al
- Equality of Opportunity in Supervised Learning
- ImageNet classification with deep convolutional neural networks
- Reinforcement Learning: An Introduction
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
Their papers
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) — 1,640 citations
- Ethical and social risks of harm from Language Models (2021) — 1,580 citations
- Improving alignment of dialogue agents via targeted human judgements (2022) — 676 citations
- Taxonomy of Risks posed by Language Models (2022) — 1,066 citations
- Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models (2022) — 69 citations
- A Causal Bayesian Networks Viewpoint on Fairness (2018) — 68 citations
- Power to the People? Opportunities and Challenges for Participatory AI (2022) — 422 citations
- Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context (2020) — 42 citations
- Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics (2020) — 75 citations
- Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020) — 669 citations
- Hope, Hype, and Fear: The Promise and Potential Pitfalls of Artificial Intelligence in Criminal Justice (2018) — 23 citations