AI Agents Should be Regulated Based on the Extent of Their Autonomous Operations
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Abstract (arXiv)
This position paper argues that AI agents should be regulated by the extent to which they operate autonomously. AI agents with long-term planning and strategic capabilities can pose significant risks of human extinction and irreversible global catastrophes. While existing regulations often focus on computational scale as a proxy for potential harm, we argue that such measures are insufficient for assessing the risks posed by agents whose capabilities arise primarily from inference-time computation. To support our position, we discuss relevant regulations and recommendations from scientists regarding existential risks, as well as the advantages of using action sequences -- which reflect the degree of an agent's autonomy -- as a more suitable measure of potential impact than existing metrics that rely on observing environmental states.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 56 of its 123 references that are in the map. First posted on arXiv 7 Feb 2025.
Builds on
56 of 123 references.
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.