Policy Statement Concerning the Suppression of Accuracy in Artificial Intelligence Systems

The commenter supports the Commission's efforts to address AI accuracy and encourages the Commission to expand its scope to include transparency in AI-assisted insurance claims. They argue that consumers deserve to know when AI influences decisions affecting their contractual rights and emphasize the need for independent human review and regulatory auditability.

A repair shop owner supports the FTC's action to prevent unfair or deceptive AI practices in insurance claims handling. The commenter highlights issues with AI-driven "steering" of repair facilities and the sourcing of incorrect, cheaper parts, calling for transparency and nationwide standards.

The commenter argues that AI systems are prone to regurgitating misinformation and lack the human judgment necessary to distinguish between correct and incorrect data. They advocate for increased human staffing rather than relying on chatbots to handle complex tasks or ensure safety.

The commenter supports the policy statement, arguing that AI companies should not be allowed to steer outputs in ways that deceive consumers. They express concerns that AI systems are already exploitative and that steering outputs would make it harder for consumers to distinguish between real and AI-generated content.

The commenter supports the proposed policy and the preservation of Colorado's consumer protection laws. They argue that without regulation, AI models may be biased toward more expensive products due to corporate deals, potentially deceiving consumers.

The commenter argues that AI-generated photo estimates for vehicle repairs are insufficient because they cannot account for hidden structural or mechanical damage. They advocate for regulatory safeguards to ensure AI is used only as a preliminary tool and does not replace physical inspections or compromise consumer insurance benefits.

Muhammad Umair Dada, a software engineer, supports the FTC's Policy Statement and provides three technical recommendations to strengthen it. He suggests clarifying specific accuracy metrics for disclosures, encouraging the maintenance of engineering audit trails, and aligning the policy with the NIST AI Risk Management Framework.

An individual is reporting experiences of deceptive practices and fraud involving AI-related job listings and recruitment scams. They argue that AI companies are engaging in unfair conduct and provide evidence of fraudulent job offers and suspicious patterns in the job market.