Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory

Necdet Gürkan, Jordan W. Suchow

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the societal implications of Artificial Intelligence (AI) continue to grow, the pursuit of responsible AI necessitates public engagement in its development and governance processes. This involvement is crucial for capturing diverse perspectives and promoting equitable practices and outcomes. We applied Cultural Consensus Theory (CCT) to a nationally representative survey dataset on various aspects of AI to discern beliefs and attitudes about responsible AI in the United States. Our results offer valuable insights by identifying shared and contrasting views on responsible AI, pinpointing the most controversial topics across different consensus groups, and even within similar cultural belief systems. Furthermore, these findings serve as critical reference points for developers and policymakers, enabling them to more effectively consider individual variances and group-level cultural perspectives when making significant decisions and addressing the public's concerns.

Original languageEnglish
Title of host publicationProceedings of the 57th Annual Hawaii International Conference on System Sciences, HICSS 2024
EditorsTung X. Bui
Pages713-722
Number of pages10
ISBN (Electronic)9780998133171
StatePublished - 2024
Event57th Annual Hawaii International Conference on System Sciences, HICSS 2024 - Honolulu, United States
Duration: 3 Jan 20246 Jan 2024

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Conference

Conference57th Annual Hawaii International Conference on System Sciences, HICSS 2024
Country/TerritoryUnited States
CityHonolulu
Period3/01/246/01/24

Keywords

  • artificial intelligence
  • Bayesian modeling
  • cultural consensus theory
  • public perception
  • responsible AI

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