In the diverse array of work investigating the nature of human values from
psychology, philosophy and social sciences, there is a clear consensus that
values guide behaviour. More recently, a recognition that values provide a
means to engineer ethical AI has emerged. Indeed, Stuart Russell proposed
shifting AI's focus away from simply ``intelligence'' towards intelligence
``provably aligned with human values''. This challenge -- the value alignment
problem -- with others including an AI's learning of human values, aggregating
individual values to groups, and designing computational mechanisms to reason
over values, has energised a sustained research effort. Despite this, no
formal, computational definition of values has yet been proposed. We address
this through a formal conceptual framework rooted in the social sciences, that
provides a foundation for the systematic, integrated and interdisciplinary
investigation into how human values can support designing ethical AI.

通过社会科学根植的正式概念框架，系统、集成和跨学科地探究人类价值如何支持设计道德人工智能，从而解决价值对齐问题和其他相关的挑战，如人工智能学习人类价值观、将个人价值观聚合到群体中和设计计算机机制来处理价值观。