mlsanityData to 13 Oct 2026

A multilevel framework for AI governance

arXiv 2307.03198 ↗First posted 4 Jul 2023cs.CY cs.AIcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 13 Oct 2026). Builds on 5 of its 62 references that are in the map. First posted on arXiv 4 Jul 2023.

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5 of 62 references.

References · 5

  1. 2019Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIcited by 1,547
  2. 2019Principles alone cannot guarantee ethical AIcited by 135
  3. 2019The Ethics of AI Ethics -- An Evaluation of Guidelinescited by 129
  4. 2022Trust in AI and Its Role in the Acceptance of AI Technologiescited by 29
  5. 2021Ethics-Based Auditing of Automated Decision-Making Systems: Intervention Points and Policy Implicationscited by 7

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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.

2 papers.