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A Multilevel Framework for AI Governance
Book chapter   Open access

A Multilevel Framework for AI Governance

Hyesun Choung, Prabu David and John S. Seberger
The Routledge Handbook of Global and Digital Governance Crossroads, pp 310-323
2025
DOI: https://doi.org/10.4324/9781003316077-25
url
http://arxiv.org/abs/2307.03198View
SubmittedarXiv.org - Non-exclusive license to distribute,  Open

Abstract

Multilevel Framework Artificial Intelligence Governance Trust Ethics
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. This chapter proposes a multilevel governance approach that involves three groups of interdependent stakeholders: governments, corporations, and citizens. It examines 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.

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