# Regulating Artificial Intelligence: Proposal for a Global Solution

arXiv: https://arxiv.org/abs/2005.11072 · HTML: https://mlsanity.com/paper/2005.11072/

## Key facts

- Cited by 10 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 May 2020.

## Built on by (most cited first, 10 of 10)

- [Hard Choices in Artificial Intelligence](https://mlsanity.com/paper/2106.11022/) (2021)
- [What does it take to catch a Chinchilla? Verifying Rules on Large-Scale Neural Network Training via Compute Monitoring](https://mlsanity.com/paper/2303.11341/) (2023)
- [Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation](https://mlsanity.com/paper/2111.05071/) (2021)
- [A Nested Model for AI Design and Validation](https://mlsanity.com/paper/2407.16888/) (2024)
- [Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis](https://mlsanity.com/paper/2410.01817/) (2024)
- [Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management](https://mlsanity.com/paper/2110.09271/) (2021)
- [A Roadmap Towards Automated and Regulated Robotic Systems](https://mlsanity.com/paper/2403.14049/) (2024)
- [Data Fusion Challenges Privacy: What Can Privacy Regulation Do?](https://mlsanity.com/paper/2111.13304/) (2021)
- [The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems](https://mlsanity.com/paper/2407.05341/) (2024)
- [AI Governance in Higher Education: Case Studies of Guidance at Big Ten Universities](https://mlsanity.com/paper/2409.02017/) (2024)

## 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.