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

Necdet Gurkan, Jordan W. Suchow
1/6/2024
cs.CYcs.AI

No confident code implementation found for this paper.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Cite this paper

@article{gurkan2024exploring,
  title  = {Exploring Public Opinion on Responsible AI Through The Lens of Cultural Consensus Theory},
  author = {Necdet Gurkan and Jordan W. Suchow},
  year   = {2024},
  eprint = {2402.00029},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.00029v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2402.00029.svg)](https://codeofpaper.com/paper/2402.00029)

Discussion