Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory
Hawaii International Conference on System Sciences(2024)
摘要
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.
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