What would the FTC’s AI accuracy policy mean for state chatbot laws?
Historical consensus 2026-07-28Active
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Movement at this check
Changed since last check
The answer itself held, but the models now agree less than in the recent checks (-16 pts). Rephrased and condensed with minor structural and citation differences; core conclusions on preemption, output-steering risks, and viability of disclosure/safety laws remain identical.
The FTC’s AI accuracy policy would not automatically void state chatbot laws, but it could make some of them much harder to defend—especially laws that effectively require a chatbot to change, suppress, or steer away from otherwise accurate outputs without telling users.ftcjustia
In practical terms, the policy would likely mean:
Disclosure laws are on relatively firm ground. Rules requiring a bot to say it is AI, not human, are more likely to fit with the FTC’s deception framework than conflict with it.waca
Child-safety, crisis-response, and anti-impersonation rules would generally still be defensible, because they regulate safety and identity rather than forcing false factual answers.justiawa
State laws that pressure a model to alter accurate answers for equity, bias, or ideological reasons would face the biggest risk of FTC-based preemption challenges.justiaca
The policy would not give the FTC the final word; courts would decide whether a specific state law is preempted.justiaca
The key idea is that the FTC is treating hidden output steering as potentially deceptive under Section 5 if users were led to expect a chatbot that is aiming for accurate, objective answers.ftcjustia So if a state law effectively forces a company to change a chatbot’s factual outputs, the company might argue it is trapped between state compliance and federal deception risk—a classic conflict-preemption argument.justiaca
That said, the strongest state laws are the ones that regulate transparency, safety, and downstream use, not laws that require a chatbot to present materially altered answers as if they were ordinary outputs. So the bottom line is: the policy would not kill state chatbot laws, but it would put “output-steering” and “accuracy-suppression” laws under the most pressure.
Differences
1 notable difference (1 contradiction)
across 3 models.
contradiction · critical
Whether the policy creates an automatic or profound override of state laws
The policy creates a direct and profound conflict that undermines state authority
Gemini
“creates a direct and profound conflict with emerging state-level artificial intelligence and chatbot laws”
How to verify: Check whether the consensus states the policy does not automatically void the laws
Best answerOpenAI
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Each row is one part of the answer. The cards show the distinct positions; the model chips show who supports each one.
0/100Direction Shift · Stable
Shared conclusion
The FTC’s proposed AI accuracy policy would not automatically invalidate state chatbot laws.
Shared position
Supports this conclusion
DeepSeek
OpenAI
Shared conclusion
Instead, it would create a federal conflict-preemption argument against particular state requirements that allegedly force companies to
Shared position
Instead, it would create a federal conflict-preemption argument against particular state requirements that allegedly force companies to alter otherwise truthful or prompt-faith
DeepSeek
Gemini
OpenAI
Shared conclusion
The proposal’s core theory is that companies marketing AI systems as useful or accurate implicitly represent that the systems are designed t
Shared position
The proposal’s core theory is that companies marketing AI systems as useful or accurate implicitly represent that the systems are designed to provide reliable answers.
DeepSeek
Gemini
OpenAI
Shared conclusion
Secretly steering responses toward undisclosed ideological, political, “equity,” or other objectives could therefore be treated as deceptive
Shared position
Secretly steering responses toward undisclosed ideological, political, “equity,” or other objectives could therefore be treated as deceptive under Section 5 of the FTC Act.
DeepSeek
Gemini
OpenAI
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Cite this answer
consens.io. (2026-07-28). Consensus answer to "What would the FTC’s AI accuracy policy mean for state chatbot laws?". Models consulted: OpenAI: gpt-5.6-luna, Google Gemini: gemini-3.5-flash-lite, Grok: grok-4.3-no-reasoning. Consensus model: OpenAI. Sources: https://www.ftc.gov/policy/public-comments/policy-statement-concerning-suppression-accuracy-artificial-intelligence-systems, https://regulations.justia.com/regulations/fedreg/2026/07/07/2026-13628.html, https://app.leg.wa.gov/RCW/default.aspx?cite=19.440.030&utm_source=openai, https://leginfo.legislature.ca.gov/faces/codes_displayText.xhtml?chapter=22.6&division=8.&lawCode=BPC&part=&title=&utm_source=openai, https://search.ftc.gov/news-events/news/press-releases/2024/09/ftc-announces-crackdown-deceptive-ai-claims-schemes?utm_source=openai, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEGRtBn3S0-Nq1anE-_11IDBkRw7myUlbESUpqaPbTdqzkWMCRI5hDU4TJd-gPDOWPjo4MNIE6EGTXGPkB7slEH3VTZOLCwljZ_rzRyhCHAjLIfrI0sS2jNyI1MN0OvtGQhQWFjJonYK8M=, https://leg.colorado.gov/bills/sb24-205, https://www.consumerfinancialserviceslawmonitor.com/2026/05/colorado-rewrites-its-ai-law/, https://ai-law-center.orrick.com/us-ai-law-tracker-see-all-states/, https://verifywise.ai/blog/state-of-ai-governance-regulations-united-states-2026, https://www.techpolicy.press/the-ftc-statement-on-ai-bias-lacks-conviction/, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHRWREl27r70dVdnmqLEEGancmHyQaPs7-_XxdBlNu-PewVYGWS4VtibEctoBL5hwId3p9_N_rZmH6ojvz_tuIHcbgHuB17QSp5-9JENnQtZaT4xpXvC-rtePco_-nM0GhDOrmSG-Ve8xgWK_QWvpM2BVcb3lHt-OCnzX0pppg1QDVSMCkHWMjyGL8ajUL_vX2SHhgy0bDtV_WAeq_CEj0vZ39uAgDRbUaTbCbPJSe47A9K, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHBA85CVNiCPmbFWV3vBngLdx7Cfv4JXCdIklwVChi9CRC8A_1x_eEQPg4IBjxkL4UOxI6Wbx82mjq_0IZ3_Y9jVXY3odPvt8gVLS3Wjzs23J1ifGKDoS6iEZCMVq7QivtVV7mSM3bferAE_VECNstRtNMhj9g6yGP4wAU6lf5WBOd_ElKBBH9Vl8fuKij1X16hulsXPRKE5nsTyEn0rdm_oAychONfYV0yJriBLVKiZJf3UJZnrZqkxJ03FS0RqPlHFOanbgdqJ6qWgUqmgUO8KQ==, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEYBVmG2D6r17fpiId4kp3IClM3nAUujUnyybVdemM0DFD87HoZHciEqEeN5VYXjpuWt8lVecWDYsaCRyoI5LZ6MsEFEfiSh-hsuJGjxr7Wra4aX8gST7CNEjfuQkzE50eAy9mXtL9VmaEZvLlLYwxiMSmd4o6z47n421aJFJgWJ60=, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEtvZ3SBfQBV7RD7_qMTRTRmfrvVDx8CRirs8JuhTYjJ8j8wAaN3AyID__OHed8u43jtCf8Ydw3zQFVwMytfF6YdoKGrpmzWtlYMq-gGZuttgLNJacIBy-M2QbkvOIuLx0n2rWdOj8e5e5OyX8acb21YIolbAcj-Xdc8qm_, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFqJlYqgbAhLpgr5KqltqrJVWQF3ZGNyCoyQHpc0PRuC6Jh9z8vlT9SrlzMnCtVSmgvNYKoNWmMvqDzWdqm7c8lHKaZZJwTB_xBA-TOFSRZsEuEDJfEGjG_V6lSn7u0eho0Qc7o97B_Q9EnqLW5ERVACxr7tvVWepyk5bTyawjJXKULHi4xvQuxD9HZvhE5unV0gH6ZRnS5I2zHAa8RiKpRY5xpE4Ws1iJmqF4546MCw1qN4z_Ze4jhCcZSUCcBYzktsjgv8rUagJitxQ==, https://www.ftc.gov/news-events/news/press-releases/2026/07/ftc-seeks-public-comment-policy-statement-addressing-ai-accuracy, https://www.winstontaylor.com/insights/the-ftc-proposed-policy-statement-concerning-the-suppression-of-accuracy-in-artificial-intelligence-systems, https://www.consumerfinancialserviceslawmonitor.com/2026/07/ftc-proposes-policy-statement-on-ai-accuracy-and-ideological-manipulation-of-ai-outputs/, https://www.arnoldporter.com/en/perspectives/blogs/major-questions-an-administrative-law-and-regulatory-blog/2026/07/ftcs-proposed-policy-statement-on-ai-accuracy-and-preemption-of-state-ai-laws, https://www.whitehouse.gov/presidential-actions/2025/12/eliminating-state-law-obstruction-of-national-artificial-intelligence-policy/, https://www.consumerfinancemonitor.com/2026/07/14/ftc-takes-aim-at-ai-accuracy/ Retrieved from https://www.consens.io/s/what-would-the-ftcs-ai-accuracy-policy-mean-for-state-NmpqbAofFirKV4n0?version=d8db14f8ec76f9af8e5a32fc
The update expands on details, structure, and legal nuance (such as distinguishing safety controls from deceptive manipulation and detailing preemption litigation factors), but the core conclusions and legal assessments remain identical.
Restated, not moved: The new consensus clarifies that the FTC policy is a proposed policy statement rather than a final rule and explicitly notes that state law compliance is not automatically a defense against federal deception claims. The overall conclusions regarding which state laws are vulnerable versus safe remain consistent.
Rephrased and condensed with minor structural and citation differences; core conclusions on preemption, output-steering risks, and viability of disclosure/safety laws remain identical.
Restated, not moved: The new version sharpens phrasing (e.g., "not automatically wipe out" vs "not automatically invalidate"), adds explicit emphasis on "algorithmic discrimination / disparate-impact duties" as a target, reorganizes content into bullet lists for readability, and slightly broadens the "less likely to be affected" category. Core conclusions, examples, and qualifications are materially identical.
3 AI models
answered this question independently on 2026-07-28. A judge from a different model family
then cross-checked the answers, scored how far they agree and flagged where they differ. The question is re-checked weekly, and every earlier version stays on this page.
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