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Preprint
A multilevel framework for AI governance
arXiv.org
03 Jul 2023
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.
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Details
- Title
- A multilevel framework for AI governance
- Creators
- Hyesun ChoungPrabu DavidJohn S Seberger
- Publication Details
- arXiv.org
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Other Identifier
- 991021861869204721