Amanda Askell
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Safety Research top 5%
- Ethics and Social Impacts of AI
Papers in
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- Philosophical Ethics and Theory 3
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- Ethics and Social Impacts of AI 2
- Co-authors
- Geoffrey Irving (1 shared paper)Peter Welinder (1 shared paper)Ryan Lowe (1 shared paper)John Schulman (1 shared paper)Long Ouyang (1 shared paper)Sandhini Agarwal (1 shared paper)Paul F. Christiano (1 shared paper)Carroll L. Wainwright (1 shared paper)
- Journals
- Australasian Journal of Philosophy (1 paper)ACM Conference on Fairness, Accountability, and Transparency (FAccT) (1 paper)PhilPapers (PhilPapers Foundation) (1 paper)neural information processing systems (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Amanda Askell
7 papers receiving 350 citations
Amanda Askell's Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 21
- Safety Research 107
- Artificial Intelligence 147
- General Social Sciences 7
- Information Systems 37
Countries citing papers authored by Amanda Askell
This map shows the geographic impact of Amanda Askell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amanda Askell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda Askell more than expected).
Fields of papers citing papers by Amanda Askell
This network shows the impact of papers produced by Amanda Askell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amanda Askell. The network helps show where Amanda Askell may publish in the future.
Co-authors
The 11 scholars most cited alongside Amanda Askell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Predictability and Surprise in Large Generative Models Hit paper breakdown → | 2022 | 134 |
| 2 | 2022 | 126 | |
| 3 | 2023 | 75 | |
| 4 | 2019 | 30 | |
| 5 | Pareto Principles in Infinite Ethics | 2018 | 11 |
| 6 | 2019 | 2 | |
| 7 | 2024 | 1 |
About Amanda Askell
Amanda Askell is a scholar working on Philosophy, Safety Research, General Decision Sciences, Nature and Landscape Conservation and Artificial Intelligence, having authored 7 papers that have together received 379 indexed citations. Recurring topics across this work include Philosophical Ethics and Theory (3 papers), Ethics and Social Impacts of AI (2 papers), Topic Modeling (2 papers), Natural Language Processing Techniques (2 papers), Environmental Philosophy and Ethics (1 paper), Evaluation and Performance Assessment (1 paper), Decision-Making and Behavioral Economics (1 paper) and Climate Change Policy and Economics (1 paper). The work is most often cited by research in Health Informatics (21 citations), Safety Research (107 citations), Artificial Intelligence (147 citations), General Social Sciences (7 citations) and Information Systems (37 citations). Amanda Askell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Geoffrey Irving, Peter Welinder, Ryan Lowe, John Schulman, Long Ouyang, Sandhini Agarwal, Paul F. Christiano, Carroll L. Wainwright, Jan Leike and Pamela Mishkin. Their work appears in journals such as Australasian Journal of Philosophy, ACM Conference on Fairness, Accountability, and Transparency (FAccT), PhilPapers (PhilPapers Foundation) and neural information processing systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.