Policy Statement Concerning the Suppression of Accuracy in Artificial Intelligence Systems

CtrlAltX Studios LLC, a New York technology studio, supports the proposed policy statement but urges the Commission to clarify that compliance with state disclosure or measurement mandates (like NYC Local Law 144) should not be considered evidence of deception. They argue that disclosure mandates are distinct from laws requiring the alteration of AI outputs and recommend adding specific language to prevent a chilling effect on transparency regimes.

Maria Webb, a real estate broker and author, opposes the proposed policy statement, arguing that it protects AI companies from accountability for discriminatory outputs rather than protecting consumers. She contends that the policy could be used to preempt state-level anti-discrimination laws and urges the FTC to withdraw the statement and instead focus on the harms of algorithmic bias.

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 against the suppression of accuracy in AI, arguing that AI systems can be used for social and political influence and often provide inaccurate or unhelpful customer service. They advocate for companies to be held responsible for the information provided by their AI systems and express concern over the replacement of human workers with AI.

The commenter argues that generative AI perpetuates and automates human systemic biases against marginalized groups. They advocate for strict regulations on the use and spread of AI to address these biases and errors.

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, who identifies as a licensed appraiser, expresses frustration with how AI and insurance companies are affecting repair estimates. However, the comment focuses on industry-specific grievances regarding insurance practices and does not take a clear stance on the specific policy regarding the suppression of accuracy in AI systems.

Tolu Adegbite, a researcher at OCAD University, supports the proposed policy statement but argues it should explicitly address the disproportionate harm caused to neurodivergent users. The commenter recommends including specific requirements for accessible disclosures, inclusive testing frameworks, and interface-level accuracy considerations.

An individual citizen argues that AI systems exhibit significant racial bias and white supremacist ideologies, citing specific studies on medical bias, facial recognition errors, and linguistic stereotypes. They urge the Federal Trade Commission to implement regulations to address and mitigate these racist biases in artificial intelligence.

The commenter urges the Federal Trade Commission to investigate the use of artificial intelligence in insurance claims handling, arguing that multiple AI systems may be compounding to produce biased outcomes. They provide data showing a significant increase in claims closed without payment and suggest that AI-driven workflows may be concealing or accelerating these trends.