A multilevel framework for AI governance
This addresses the governance gap in AI for policymakers and stakeholders, but it is incremental as it builds on existing ethical frameworks without introducing new technical methods.
The paper tackles the problem of translating ethical AI principles into practice by proposing a multilevel governance framework involving governments, corporations, and citizens, examining their interrelationships through trust dimensions like competence and integrity to provide practical insights for enhancing user experiences and informing public policy.
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.