Hyesun Choung, Ph.D. - A multilevel framework for AI governance

Journal article

Hyesun Choung, Prabu David, John S. Seberger
arXiv.org, 2023

Cite

APA Click to copy
Choung, H., David, P., & Seberger, J. S. (2023). A multilevel framework for AI governance. ArXiv.org.

Chicago/Turabian Click to copy
Choung, Hyesun, Prabu David, and John S. Seberger. “A Multilevel Framework for AI Governance.” arXiv.org (2023).

MLA Click to copy
Choung, Hyesun, et al. “A Multilevel Framework for AI Governance.” ArXiv.org, 2023.

BibTeX Click to copy

@article{hyesun2023a,
  title = {A multilevel framework for AI governance},
  year = {2023},
  journal = {arXiv.org},
  author = {Choung, Hyesun and David, Prabu and Seberger, John S.}
}

Abstract

To realize the potential benefits and mitigate potential risks of AI, it is necessary to develop a framework of governance that conforms to ethics and fundamental human values. Although several organizations have issued guidelines and ethical frameworks for trustworthy AI, without a mediating governance structure, these ethical principles will not translate into practice. In this paper, we propose a multilevel governance approach that involves three groups of interdependent stakeholders: governments, corporations, and citizens. We examine their interrelationships through dimensions of trust, such as competence, integrity, and benevolence. The levels of governance combined with the dimensions of trust in AI provide practical insights that can be used to further enhance user experiences and inform public policy related to AI.