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Tracked question

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

Historical consensus 2026-08-04 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

Stable since last check

The wording moved, the conclusion held: 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.

Direction shift
33/100
Agreement
+26 pts vs previous check, within the range of the recent checks

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
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90 /100
agreement
  • 3 AI models
  • 0 contradictions
  • 16 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 wipe out state chatbot laws, but it would give companies and the FTC a strong basis to challenge state rules that are seen as forcing chatbots to hide their objectives, suppress truthful answers, or otherwise trade away accuracy without disclosure.ftcftc

In practical terms, it creates a divide:

  • Usually safer state laws: disclosure rules, age-safety rules, privacy protections, human-review requirements, self-harm safeguards, and bans on impersonating professionals or real people. These generally regulate how a chatbot is used or marketed, not whether it gives truthful answers.ftc
  • More vulnerable state laws: rules that can be read as requiring a chatbot to steer outputs toward state-defined goals like bias reduction, equity, or discrimination avoidance if doing so changes the system’s factual responses or does so without clear disclosure.ftcftc

The FTC’s theory is that if a company markets an AI system as producing accurate, objective answers, then secretly directing it to give different answers to serve another goal can be deceptive under Section 5. The FTC also says a company’s compliance with a state law is not automatically a defense if the result is still deceptive.ftccolorado

That said, this is still only a proposed policy statement, not a final binding rule. So it does not itself invalidate any state law. Any real preemption fight would still have to be litigated in court, law by law, to decide whether there is an actual conflict.ftcftc

So the bottom line is:

  • State chatbot laws focused on transparency, safety, and consumer protection are likely to survive.
  • State laws that appear to require undisclosed output steering or factual distortion are the ones most exposed to challenge.

In short, the FTC policy would push states to draft chatbot laws around disclosure, safety, and accountability rather than around mandating particular outputs.ftcftc

Differences

The 3 models broadly agree – no notable differences found.

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 Federal Trade Commission’s Proposed Policy Statement Concerning the Suppression of Accuracy In Artificial Intelligence Systems ftc.gov
  3. 3 HB26-1263 Conversational AI Service Operator Requirements | Colorado General Assembly leg.colorado.gov
  4. 4 SB26-189 Automated Decision-Making Technology | Colorado General Assembly leg.colorado.gov
  5. 6 ai-law-center.orrick.com
  6. 7 leg.colorado.gov
  7. 8 spencerfane.com
  8. 9 laweconcenter.org
  9. 9 ftc.gov
  10. 10 spencerfane.com
  11. 11 ftc.gov
  12. 12 steptoe.com
  13. 13 ftc.gov
  14. 14 steptoe.com
  15. 15 winstontaylor.com
  16. 16 consumerfinancialserviceslawmonitor.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. (2026-08-04). 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://www.ftc.gov/system/files/ftc_gov/pdf/ai-policy-statement_0.pdf, https://leg.colorado.gov/bills/HB26-1263?utm_source=openai, https://leg.colorado.gov/bills/sb26-189?utm_source=openai, https://ai-law-center.orrick.com/us-ai-law-tracker-see-all-states/, https://leg.colorado.gov/bills/sb26-189, https://www.spencerfane.com/insight/ftc-proposes-new-policy-on-ai-accuracy-hiding-how-an-ai-system-is-steered-may-violate-federal-law/, https://laweconcenter.org/resources/the-ftcs-ai-accuracy-statement-needs-a-fact-check/, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFISiH-gVuJ6U0mkf-VqWiheOlzyOSTfYYGLbXTMLASbL_csoCbISYkA7qJIMDxJYEN1G67XmuVetEUIUbUPg2_jkrzUDtSZloqYilWt2wzVjO_0NIiufFl1jv1z1SHAFjFafzPZlDXn64x3gaNplxMve32euEAnDKaVFVWXtmZ6U-vmuklQGu2eCXpQy1DexCX3_1I6ue7d3wfWxtBlSjOCKKectRsGh4yPSx057pRa4dk, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGDQjcHZ_0fw9acy7K7Gx2Unmg9Ls1uNAtRzQaMG9mux0fozW_YsLUJOzdpbkio_4yP7IHDEVgTOg2Ena4npWztX2IT4H376ZK8ISfg4kRiPXHZHNOui4x7ygeA5tBz4An5G9mMwIE_lrkAKH3XrMhhXctJiLTU-H1mVEH-O_jzrLQ82qnLFCiCZtAhYODOtuxC7UM29Ya1DzoeIDPTM4EdHcrvYe5g6zlm33IsVWmdSBADPAIdtbKdUndw1E4=, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQGMJn95pZhTwEV2oOLoupVN3KliWZi2jt3FTxrrfgesAv97M1nXsXmfkl6Oi2F41q2JKcEwoXgQgzvN-CGWA1JHjA8XY4t3a8imlp1lvN0Z1MH0wjs1CQFyHmdUumW4qVgpcyrQgIJqgj81TJP6iVBMeZaZ4MSVkLV734Ou, https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFf3VOazlfYCyjsrTgKN5MHfZOhrTSuLIIFXf66FYFICAhGkv15Y32gqg1pu7bLYzEKvtRtqiZZgYiZX64K0LzyDowVI6IpjU8LitkD8jBXN9yWD0f5XsD5YEnYqDs0YidrpbIxQCMv8OC3ywMn6UOggdOVRrU8vNbJF7O67cCbalGShsGKgmRGOi5GH0hyL-VQVZL7Szxr9y1PxJQbuFDXRQgHl1bs5RbrNaZdFOfxFA==, https://www.ftc.gov/news-events/news/press-releases/2026/07/ftc-seeks-public-comment-policy-statement-addressing-ai-accuracy, https://www.steptoe.com/en/news-publications/ftc-proposes-policy-statement-addressing-ai-accuracy-under-state-ai-laws.html, 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/ Retrieved from https://www.consens.io/s/what-would-the-ftcs-ai-accuracy-policy-mean-for-state-NmpqbAofFirKV4n0?version=156d52e58dabd1b5397b0913

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Consensus Watch

Run history

90/100 latest agreement
View the full agreement chart

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 2026-08-04. 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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