Negative Human Rights as a Basis for Long-term AI Safety and Regulation

IF 4.5 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ondrej Bajgar, Jan Horenovsky
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引用次数: 3

Abstract

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.
消极人权是人工智能长期安全和监管的基础
如果要让自主人工智能系统在新情况下保持可靠的安全,它们就需要纳入指导它们识别和避免有害行为的一般原则。这些原则可能需要一个有约束力的监管体系来支持,这需要基本原则得到广泛接受。它们还应该足够具体,以便于技术实现。本文从法律中汲取灵感,解释了消极人权如何发挥这些原则的作用,并作为国际监管体系和为未来人工智能系统建立技术安全约束的基础。本文出现在人工智能与社会轨道上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research 工程技术-计算机:人工智能
CiteScore
9.60
自引率
4.00%
发文量
98
审稿时长
4 months
期刊介绍: JAIR(ISSN 1076 - 9757) covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Established in 1993 as one of the first electronic scientific journals, JAIR is indexed by INSPEC, Science Citation Index, and MathSciNet. JAIR reviews papers within approximately three months of submission and publishes accepted articles on the internet immediately upon receiving the final versions. JAIR articles are published for free distribution on the internet by the AI Access Foundation, and for purchase in bound volumes by AAAI Press.
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