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On October 14, 2026, attorneys general in Arizona, Arkansas, Idaho, Iowa, Kansas, Montana, Nebraska, and West Virginia filed separate but coordinated lawsuits against OpenAI. The complaints allege that OpenAI misrepresented or failed to disclose material risks associated with ChatGPT and used product-design features that encouraged prolonged or dependent use, particularly among minors. The allegations have not been adjudicated, and OpenAI disputes that its safeguards are inadequate.  

Existing Consumer-Protection Laws Are Becoming AI Rules  

The filings are important well beyond foundation-model providers. This is another example of how state attorneys general can use existing unfair-or-deceptive-acts-and-practices laws, privacy requirements, child-safety theories, and related remedies to challenge the design and marketing of AI products without waiting for a comprehensive federal AI statute.  

That exposure may extend to companies that build consumer-facing AI applications on top of third-party large language models. An application provider may create its own risk through system prompts, memory, engagement features, user profiling, marketing claims, age controls, escalation pathways, or failure to test how the integrated product behaves in foreseeable high-risk interactions.  

Safety Representations Must Match Documented Controls  

The complaints focus on the gap the states allege exists between public safety representations and actual product behavior. For developers and deployers, that makes substantiation critical. Claims that an AI tool is safe, reliable, age-appropriate, private, or designed with particular safeguards should be supported by testing, governance records, incident data, and documented remediation decisions.  

The coordinated actions also reinforce a larger trend: when federal policy is incomplete or delayed, states may act collectively and seek product-design changes, age protections, data deletion, monetary relief, and restrictions on future development or deployment.  

What AI Developers and Deployers Should Do Now  

  • Inventory consumer-facing AI systems, including products that embed or customize third-party models.  
  • Compare marketing, onboarding, and safety statements against actual testing results, known limitations, and implemented controls.  
  • Document pre-release and ongoing testing for foreseeable misuse, vulnerable users, age-related risks, and high-impact interactions.  
  • Evaluate age assurance, parental controls, break or disengagement features, escalation paths, and restrictions on collection or use of minors’ data.  
  • Review contracts and technical responsibilities among model providers, application developers, and deployers so that safety monitoring, incident response, and remediation are not left unassigned.  
  • Preserve governance records showing how identified risks were assessed, accepted, mitigated, and escalated.  

The CommLaw Group Can Help  

The CommLaw Group advises businesses on AI governance, product counseling, privacy, consumer protection, risk assessments, testing, and incident response. For assistance evaluating these developments or strengthening compliance programs, please contact:  

Brian Alexander | bal@commlawgroup.com  
Diana James | daj@commlawgroup.com  

Primary sources: Arizona Attorney General announcement and complaint | Iowa petition