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Tracked question

What would the FTC’s AI accuracy policy mean for state chatbot laws?

Historical consensus 2026-07-28 Active
Runs Weekly on Tuesday at 09:00 (Europe/Berlin) Last 2026-09-01 09:19 Europe/Berlin Next 2026-09-08 09:00 Europe/Berlin

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.

Direction shift
0/100
Agreement
-16 pts vs previous check

Agreement over time

90/100
2026-07-21: 80/100 · 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. 2026-07-28: 64/100 · Rephrased and condensed with minor structural and citation differences; core conclusions on preemption, output-steering risks, and viability of disclosure/safety laws remain identical. 2026-08-04: 90/100 · 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. 2026-08-11: 90/100 · No material movement 2026-08-18: 90/100 · No material movement 2026-08-25: 75/100 · 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. 2026-09-01: 90/100 · No material movement View full chart
You are viewing a historical version. Return to current consensus
64 /100
agreement
  • 3 AI models
  • 1 contradiction
  • 22 sources
Consensus OpenAI GPT-5.4 mini
Models consulted
  • OpenAI GPT-5.6 Luna
  • Google Gemini Gemini 3.5 Flash-Lite
  • Grok Grok 4.3 · No reasoning

Consensus at this check

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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Sources

  1. 1 Policy Statement Concerning the Suppression of Accuracy in Artificial Intelligence Systems | Federal Trade Commission ftc.gov
  2. 2 Policy Statement Concerning the Suppression of Accuracy in Artificial Intelligence Systems, 41638-41642 [2026-13628] :: Federal Trade Commission :: Agencies And Commissions :: Regulation Tracker :: Justia regulations.justia.com
  3. 3 RCW 19.440.030: app.leg.wa.gov
  4. 4 Codes Display Text leginfo.legislature.ca.gov
  5. 5 FTC Announces Crackdown on Deceptive AI Claims and Schemes | Federal Trade Commission search.ftc.gov
  6. 6 sitegpt.ai
  7. 7 leg.colorado.gov
  8. 8 consumerfinancialserviceslawmonitor.com
  9. 9 ai-law-center.orrick.com
  10. 10 verifywise.ai
  11. 11 techpolicy.press
  12. 12 ftc.gov
  13. 13 federalregister.gov
  14. 14 techpolicy.press
  15. 15 ftc.gov
  16. 16 consumerfinancialserviceslawmonitor.com
  17. 17 ftc.gov
  18. 18 winstontaylor.com
  19. 19 consumerfinancialserviceslawmonitor.com
  20. 20 arnoldporter.com
  21. 21 whitehouse.gov
  22. 22 consumerfinancemonitor.com

Position Map

Where the models stand

Each row is one part of the answer. The cards show the distinct positions; the model chips show who supports each one.

0/100 Direction 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
See how each model moved across checks
Model position movement by watch date
ModelJul 21Jul 28Aug 04Aug 11Aug 18Aug 25Sep 01
OpenAI
Gemini
Grok — —
DeepSeek — — — — — —
Same positionChanged position

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

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Consensus Watch

Run history

90/100 latest agreement
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Agreement over time

How strongly the models support the same claims. Every point links to its run below.

100 50 0 2026-07-21: 80/100 · 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. 2026-07-28: 64/100 · Rephrased and condensed with minor structural and citation differences; core conclusions on preemption, output-steering risks, and viability of disclosure/safety laws remain identical. 2026-08-04: 90/100 · 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. 2026-08-11: 90/100 · No material movement 2026-08-18: 90/100 · No material movement 2026-08-25: 75/100 · 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. 2026-09-01: 90/100 · No material movement 2026-07-21 2026-09-01

Checks

Newest first. Open any saved result to read the full consensus from that date.

  1. 2026-09-01 Stable
    90/100 agreement

    No meaningful movement detected in this check.

    Open this consensus
  2. 2026-08-25 Meaningful change
    75/100 agreement

    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.

    Open this consensus
  3. 2026-08-18 Stable
    90/100 agreement

    No meaningful movement detected in this check.

    Open this consensus
  4. 2026-08-11 Stable
    90/100 agreement

    No meaningful movement detected in this check.

    Open this consensus
  5. 2026-08-04 Stable
    90/100 agreement

    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.

    Open this consensus
  6. 2026-07-28 Meaningful change
    64/100 agreement

    Rephrased and condensed with minor structural and citation differences; core conclusions on preemption, output-steering risks, and viability of disclosure/safety laws remain identical.

    Open this consensus
  7. 2026-07-21 Stable
    80/100 agreement

    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.

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About this tracked question

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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