Source: Tech Policy Press

The article outlines a three-level framework to assess the public interest in artificial intelligence (AI). It categorizes public interest into three tiers: foundational interests (e.g., privacy and security), systemic risks (e.g., bias and misinformation), and transformative opportunities (e.g., social good and innovation).

The framework highlights how AI governance must balance these levels to ensure ethical development and deployment. Foundational interests focus on protecting individuals from harm, while systemic risks address broader societal impacts. Transformative opportunities emphasize AI’s potential to contribute to sustainability, education, and health.

Policymakers and developers are encouraged to adopt this framework to align AI systems with public values, ensuring that innovation benefits society while minimizing risks. The article underscores the importance of cross-sector collaboration to address ethical, legal, and technical challenges in AI governance.