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Hyesun Choung
Assistant Professor

Curriculum vitae



Brian Lamb School of Communication

Purdue University



Who is responsible? US Public perceptions of AI governance through the lenses of trust and ethics


Journal article


Prabu David, Hyesun Choung, John S. Seberger
Public Understanding of Science, 2024

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APA   Click to copy
David, P., Choung, H., & Seberger, J. S. (2024). Who is responsible? US Public perceptions of AI governance through the lenses of trust and ethics. Public Understanding of Science.


Chicago/Turabian   Click to copy
David, Prabu, Hyesun Choung, and John S. Seberger. “Who Is Responsible? US Public Perceptions of AI Governance through the Lenses of Trust and Ethics.” Public Understanding of Science (2024).


MLA   Click to copy
David, Prabu, et al. “Who Is Responsible? US Public Perceptions of AI Governance through the Lenses of Trust and Ethics.” Public Understanding of Science, 2024.


BibTeX   Click to copy

@article{prabu2024a,
  title = {Who is responsible? US Public perceptions of AI governance through the lenses of trust and ethics},
  year = {2024},
  journal = {Public Understanding of Science},
  author = {David, Prabu and Choung, Hyesun and Seberger, John S.}
}

Abstract

The governance of artificial intelligence (AI) is an urgent challenge that requires actions from three interdependent stakeholders: individual citizens, technology corporations, and governments. We conducted an online survey (N = 525) of US adults to examine their beliefs about the governance responsibility of these stakeholders as a function of trust and AI ethics. Different dimensions of trust and different ethical concerns were associated with beliefs in governance responsibility of the three stakeholders. Specifically, belief in the governance responsibility of the government was associated with ethical concerns about AI, whereas belief in governance responsibility of corporations was related to both ethical concerns and trust in AI. Belief in governance responsibility of individuals was related to human-centered values of trust in AI and fairness. Overall, the findings point to the need for an interdependent framework in which citizens, corporations, and governments share governance responsibilities, guided by trust and ethics as the guardrails.


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