Regulating Artificial Intelligence: Proposal for a Global Solution
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Abstract (arXiv)
With increasing ubiquity of artificial intelligence (AI) in modern societies, individual countries and the international community are working hard to create an innovation-friendly, yet safe, regulatory environment. Adequate regulation is key to maximize the benefits and minimize the risks stemming from AI technologies. Developing regulatory frameworks is, however, challenging due to AI's global reach and the existence of widespread misconceptions about the notion of regulation. We argue that AI-related challenges cannot be tackled effectively without sincere international coordination supported by robust, consistent domestic and international governance arrangements. Against this backdrop, we propose the establishment of an international AI governance framework organized around a new AI regulatory agency that -- drawing on interdisciplinary expertise -- could help creating uniform standards for the regulation of AI technologies and inform the development of AI policies around the world. We also believe that a fundamental change of mindset on what constitutes regulation is necessary to remove existing barriers that hamper contemporary efforts to develop AI regulatory regimes, and put forward some recommendations on how to achieve this, and what opportunities doing so would present.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 May 2020.
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Citing papers per year: 2021: 4; 2022: 0; 2023: 1; 2024: 5.
10 papers.
- 2021Hard Choices in Artificial Intelligencecited by 26
- 2023What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoringcited by 20
- 2021Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulationcited by 19
- 2024A Nested Model for AI Design and Validationcited by 8
- 2024Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysiscited by 7
- 2021Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Managementcited by 6
- 2024A Roadmap Towards Automated and Regulated Robotic Systemscited by 2
- 2021Data Fusion Challenges Privacy: What Can Privacy Regulation Do?cited by 0
- 2024The Switch, the Ladder, and the Matrix: Models for Classifying AI Systemscited by 0
- 2024AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universitiescited by 0
- 2024Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis15 Sep 2024
- 2024AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities3 Sep 2024
- 2024The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems7 Jul 2024
- 2024A Nested Model for AI Design and Validation8 Jun 2024
- 2024A Roadmap Towards Automated and Regulated Robotic Systems21 Mar 2024
- 2023What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring20 Mar 2023
- 2021Data Fusion Challenges Privacy: What Can Privacy Regulation Do?26 Nov 2021
- 2021Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation9 Nov 2021
- 2021Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management21 Sep 2021
- 2021Hard Choices in Artificial Intelligence10 Jun 2021