Artificial Intelligence, Values, and Alignment

被引:309
作者
Gabriel, Iason [1 ]
机构
[1] DeepMind, London, England
关键词
Artificial intelligence; Machine learning; Value alignment; Moral philosophy; Political theory; FAIR;
D O I
10.1007/s11023-020-09539-2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper looks at philosophical questions that arise in the context of AI alignment. It defends three propositions. First, normative and technical aspects of the AI alignment problem are interrelated, creating space for productive engagement between people working in both domains. Second, it is important to be clear about the goal of alignment. There are significant differences between AI that aligns with instructions, intentions, revealed preferences, ideal preferences, interests and values. A principle-based approach to AI alignment, which combines these elements in a systematic way, has considerable advantages in this context. Third, the central challenge for theorists is not to identify 'true' moral principles for AI; rather, it is to identify fair principles for alignment that receive reflective endorsement despite widespread variation in people's moral beliefs. The final part of the paper explores three ways in which fair principles for AI alignment could potentially be identified.
引用
收藏
页码:411 / 437
页数:27
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