A computational framework of human values for ethical AI

• URL: http://arxiv.org/abs/2305.02748v1
• Date: Thu, 4 May 2023 11:35:41 GMT
• Title: A computational framework of human values for ethical AI
• Authors: Nardine Osman and Mark d'Inverno
• Abstract summary: values provide a means to engineer ethical AI. No formal, computational definition of values has yet been proposed. We address this through a formal conceptual framework rooted in the social sciences.
• Score: 3.5027291542274357
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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.

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