Distinguishing Task-Specific and General-Purpose AI in Regulation
Abstract
Over the past decade, policymakers have developed a set of regulatory tools to ensure AI development aligns with key societal goals. Many of these tools were initially developed in response to concerns with task-specific AI and therefore encode certain assumptions about the nature of AI systems and the utility of certain regulatory approaches. With the advent of general-purpose AI (GPAI), however, some of these assumptions no longer hold, even as policymakers attempt to maintain a single regulatory target that covers both types of AI.
Fields of Study & Subjects
Reinforcement Learning in Robotics
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (XAI)
Publication details
- Journal / source
- Proceedings of the Symposium on Computer Science and Law
- Publisher
- ACM
- Pages
- 185–197
- Publication date
- 3 March 2026