AI regulation’s champions can seize common ground—or be swept aside

Abstract

The division between AI safety advocates concerned with existential risk and those focused on immediate socio-economic harms hinders effective AI governance, enabling technology companies to successfully lobby against regulation. To counter this, both factions must unite around shared, mutually beneficial policy objectives. Key areas of collaboration include building public-sector technical expertise, advancing standardized AI measurement metrics, and establishing independent third-party auditing frameworks. Additionally, cooperative efforts should target the implementation of federal incident-tracking systems, mandatory transparency disclosures for high-stakes models, and clearly defined legal liability structures for AI developers. Jointly pursuing these foundational regulatory mechanisms can bridge ideological divides, build robust state oversight capacity, and mitigate both immediate and long-term technological risks. – AI-generated abstract.