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A Computational Framework for Human Values

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

16 Citations (Scopus)

Abstract

There is an increasing recognition of the need to engineer AI that respects and embodies human values. The value alignment problem, which identifies that need, has led to a growing body of research that investigates value learning, the aggregation of individual values into the values of groups, the alignment of norms with values, and the design of other computational mechanisms that reason over values in general. Yet despite these efforts, no foundational, computational model of human values has been proposed. In response, we propose a model for the computational representation of human values that builds upon a sustained body of research from social psychology.

Original languageEnglish
Title of host publicationAAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1531-1539
Number of pages9
ISBN (Print)9798400704864
Publication statusPublished - 6 May 2024
Event23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024 - Auckland, New Zealand
Duration: 6 May 202410 May 2024
https://dl.acm.org/doi/proceedings/10.5555/3635637 (Conference Proceedings)
https://www.aamas2024-conference.auckland.ac.nz/ (Conference Website)

Publication series

NameAAMAS: Proceedings of the International Conference on Autonomous Agents and Multiagent Systems
ISSN (Print)1548-8403

Conference

Conference23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024
Country/TerritoryNew Zealand
CityAuckland
Period6/05/2410/05/24
Internet address

User-Defined Keywords

  • human values
  • value representation
  • formal modelling

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