Journal of Artificial Intelligence Research · 2023 · 11 citations · 46 references
LawHuman Rights LawRegulatory PolicyArtificial IntelligenceHuman RightsPublic International LawArtificial Intelligence GovernanceArtificial Intelligence PolicyEthics Of Automated Decision-makingHuman Rights ProtectionInternational Human Rights LawAi Governance FrameworksAi OversightAi Risk AssessmentAi Risk ManagementArtificial Intelligence SafetyHuman Oversight Of AiInternational Ai GovernanceSafety Constraints
If autonomous AI systems are to be reliably safe in novel situations, they will need to incorporate general principles guiding them to recognize and avoid harmful behaviours. Such principles may need to be supported by a binding system of regulation, which would need the underlying principles to be widely accepted. They should also be specific enough for technical implementation. Drawing inspiration from law, this article explains how negative human rights could fulfil the role of such principles and serve as a foundation both for an international regulatory system and for building technical safety constraints for future AI systems. This article appears in the AI & Society track.
46
Reinforcement Learning: An Introduction
Jeffrey D. Johnson, Jinghong Li, Zengshi Chen · Neurocomputing · 2000 · 8.7K citations
Jules L. Coleman, Ronald Dworkin · California Law Review · 1978 · 5.5K citations
The global landscape of AI ethics guidelines
Anna Jobin, Marcello Ienca, Effy Vayena · Nature Machine Intelligence · 2019 · 5K citations · Full text
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin et al. · arXiv (Cornell University) · 2022 · 2.1K citations · Full text