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← Regulatory & Policy
PolicyRegulatory ActionJune 2, 2026

Colorado Scales Back AI Regulations; Connecticut Focuses on Specific Use Cases

Colorado Scales Back AI Regulations; Connecticut Focuses on Specific Use Cases
Wiley Rein LLP

Colorado and Connecticut recently enacted significant AI legislation, demonstrating evolving state-level regulatory approaches in the absence of federal frameworks. Colorado's Revised AI Act scales back prior comprehensive requirements, focusing on transparency and disclosure for automated decision-making. Connecticut's AI Act adopts a modular, use-case-specific approach, imposing targeted obligations on areas such as AI companions, synthetic media, and employment-related AI, with some provisions addressing generative AI with high user counts.

Key Takeaways

  • Colorado's Revised AI Act (effective Jan 1, 2027) removes mandatory risk management programs and broad 'duty of care' obligations from its 2024 version.
  • The Colorado law now requires notice and disclosures when AI influences 'covered consequential decisions' and mandates a 60-day notice and cure period before enforcement.
  • Connecticut's AI Act features provisions for provenance data in generative AI with over one million users and specific safeguards for AI companions.
  • Connecticut's law also includes whistleblower protections for employees of 'Frontier AI model developers' regarding catastrophic risks.
  • New working groups and a regulatory sandbox are established in Connecticut to research and test AI innovations.

Why It Matters

The divergent approaches from Colorado and Connecticut highlight the increasing fragmentation of AI regulation at the state level. Streaming companies using AI for content creation, recommendation engines, or internal operations will face a complex compliance landscape. Colorado's move away from strict governance signals a potential preference for transparency over detailed risk management, while Connecticut targets high-risk applications directly. Businesses must closely monitor these evolving state frameworks and adapt their AI governance strategies to navigate varying disclosure, consent, and safeguard requirements, particularly as federal regulation remains absent.


Read full article at wiley.law

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