[2402.00029] Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory
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Computer Science > Computers and Society

arXiv:2402.00029 (cs)
[Submitted on 6 Jan 2024]

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

Authors:Necdet Gurkan, Jordan W. Suchow
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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. 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.
Subjects: Computers and Society (cs.CY); Artificial Intelligence (cs.AI)
Cite as: arXiv:2402.00029 [cs.CY]
  (or arXiv:2402.00029v1 [cs.CY] for this version)
  https://doi.org/10.48550/arXiv.2402.00029
Journal reference: Proceedings of the 57th Hawaii International Conference on System Sciences, 713-723 (2024)

Submission history

From: Necdet Gurkan [view email]
[v1] Sat, 6 Jan 2024 20:57:35 UTC (2,831 KB)
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