ArticleProceedings of the National Academy of Sciences of the United States of America2023
Using the Veil of Ignorance to align AI systems with principles of justice.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Impact of Artificial Intelligence-Generated Content Labels On Perceived Accuracy, Message Credibility, and Sharing Intentions for Misinformation: Web-Based, Randomized, Controlled Experiment.JMIR formative research · 2024Trial
- Statutory construction and interpretation for AI.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Perceptual interventions ameliorate statistical discrimination in learning agents.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- STELA: a community-centred approach to norm elicitation for AI alignment.Scientific reports · 2024Article
- Scaffolding cooperation in human groups with deep reinforcement learning.Nature human behaviour · 2023Article
- Using the Veil of Ignorance to align AI systems with principles of justice.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The philosopher John Rawls proposed the Veil of Ignorance (VoI) as a thought experiment to identify fair principles for governing a society. Here, we apply the VoI to an important governance domain: artificial intelligence (AI). In five incentive-compatible studies (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.