A multilevel framework for AI governance
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.
Cite
@article{arxiv.2307.03198,
title = {A multilevel framework for AI governance},
author = {Hyesun Choung and Prabu David and John S. Seberger},
journal= {arXiv preprint arXiv:2307.03198},
year = {2023}
}
Comments
This paper has been accepted for publication and is forthcoming in The Global and Digital Governance Handbook. Cite as: Choung, H., David, P., & Seberger, J.S. (2023). A multilevel framework for AI governance. The Global and Digital Governance Handbook. Routledge, Taylor & Francis Group