AI claim cases and source-backed examples
These cases come from official enforcement actions, regulator rules, and high-confidence public sources. They show what kind of AI product claim creates a high evidence burden — and what buyers should ask before relying on similar wording. They are not legal judgments, company ratings, or compliance certifications.
Use the buyer questions on each case page to evaluate similar claims you encounter. Then check a specific claim in the AI claim checker.
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Showing 24 cases
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- FTC Accuracy / Performance Final or settled
Workado AI detector accuracy
Risk pattern: Numeric accuracy without disclosed test scope or error rates
Evidence gap: Benchmark design and scope, content types included in testing, AI model versions covered, sample size, false positive ra…
See evidence gap and buyer questions → - FTC Compliance / Safety Final or settled
accessiBe automated accessibility claims
Risk pattern: Automated compliance promise without stated audit method or human review boundary
Evidence gap: Which WCAG version and success criteria the tool covers, the audit method and test scope, which issues remain outside au…
See evidence gap and buyer questions → - NIST Accuracy / Performance Guidance or report
NIST GenAI text detector evaluation
Risk pattern: Detector accuracy claim without benchmark design, discriminator metric, or task-scope disclosure
Evidence gap: Benchmark dataset source, human and machine text categories, generator model coverage, discriminator models tested, scor…
See evidence gap and buyer questions → - FTC Automation / Replacement Final or settled
DoNotPay robot lawyer claims
Risk pattern: Professional-replacement positioning without task scope or qualified review boundary
Evidence gap: Task scope and document types tested, the professional review standard used for comparison, failure handling and escalat…
See evidence gap and buyer questions → - SEC Accuracy / Performance Final or settled
SEC Delphia AI investment claims
Risk pattern: AI-driven performance claim without disclosed model description or independent validation
Evidence gap: Description of the AI or ML model used, training data and sources, how the AI contribution to investment returns was mea…
See evidence gap and buyer questions → - SEC First / Only / Best Final or settled
SEC Global Predictions 'first regulated AI advisor'
Risk pattern: Uniqueness claim without defined scope; AI capability claim without disclosed method
Evidence gap: The scope definition used to support the 'first' claim, how the comparison was made and against what alternatives, what…
See evidence gap and buyer questions → - FTC Compliance / Safety Guidance or report
FTC fake reviews and testimonials rule
Risk pattern: Testimonials or review counts used as social proof without disclosure of AI generation, compensation, or collection method
Evidence gap: Whether testimonials are from independent users, whether reviewers received any compensation or incentive, whether any t…
See evidence gap and buyer questions → - FTC Compliance / Safety Final or settled
Sitejabber review collection timing
Risk pattern: Review ratings displayed without disclosure of collection timing or reviewer experience context
Evidence gap: When reviews were collected relative to product delivery or service completion, what specific experience reviewers were…
See evidence gap and buyer questions → - FTC Compliance / Safety Set aside
Rytr AI-generated testimonial service
Risk pattern: AI-generated testimonial or review content presented as genuine user experience without disclosure
Evidence gap: Whether any testimonials produced by the tool were presented as genuine consumer feedback without AI-generation disclosu…
See evidence gap and buyer questions → - ASA/CAP Vague AI-powered Guidance or report
ASA/CAP AI as a marketing term
Risk pattern: AI used as a marketing descriptor without explaining function, input, output, or user-visible benefit
Evidence gap: What AI specifically does in the product, what input the AI processes, what output it produces, how performance compares…
See evidence gap and buyer questions → - FTC Compliance / Safety Reviewed
Rite Aid facial recognition safeguards
Risk pattern: AI biometric surveillance deployment without documented accuracy testing, false-positive monitoring, or harm controls
Evidence gap: Pre-deployment accuracy testing, false-positive tracking, demographic impact monitoring, image-quality controls, employe…
See evidence gap and buyer questions → - ASA/CAP Compliance / Safety Reviewed
ASA PixVideo AI video maker ad
Risk pattern: AI creative-tool ad implying unrestricted or harmful image editing without visible safeguards, consent limits, or content restrictions
Evidence gap: Allowed-use policy, prohibited content categories, consent rules for editing people in images, automated detection and b…
See evidence gap and buyer questions → - ASA/CAP Compliance / Safety Reviewed
ASA Aurai Ai roleplay ad
Risk pattern: AI companion and roleplay positioning without clear ad-safety controls, content boundaries, or audience safeguards
Evidence gap: Ad review process, age and audience targeting controls, prohibited roleplay scenarios, sexual content and violence moder…
See evidence gap and buyer questions → - FTC Accuracy / Performance Final or settled
Evolv AI security screening claims
Risk pattern: Safety-sensitive detection claim without item-level detection rates, false-alarm rates, or field-condition limits
Evidence gap: Detection rates by item type, false positive and false negative rates, sensitivity settings, field test conditions, scho…
See evidence gap and buyer questions → - FTC Compliance / Safety Final or settled
IntelliVision facial recognition claims
Risk pattern: Bias-free and anti-spoofing AI claim without subgroup testing, training-data support, or attack-scenario limits
Evidence gap: Subgroup performance by gender, ethnicity, and skin-tone groups; sample size and training-data documentation; benchmark…
See evidence gap and buyer questions → - FTC Compliance / Safety Pending
NGL AI content moderation claims
Risk pattern: AI harm-filtering claim without disclosed detection scope, error rates, or child-safety limits
Evidence gap: Harm category definitions, training data and evaluation set, false negative and false positive rates, teen-user test cov…
See evidence gap and buyer questions → - FTC Vague AI-powered Final or settled
Cox Active Listening AI ad targeting
Risk pattern: AI-powered targeting claim without evidence of data source, consent basis, algorithm function, or geographic accuracy
Evidence gap: Actual data sources used, whether voice data is collected or not, opt-in method and consent record, algorithm function,…
See evidence gap and buyer questions → - FTC ROI / Outcome Pending
Air AI business growth claims
Risk pattern: AI-linked earnings claim without customer outcome distribution, cost baseline, or refund-promise substantiation
Evidence gap: Customer outcome distribution, total startup and operating costs, baseline comparison, time period, refund eligibility a…
See evidence gap and buyer questions → - FTC ROI / Outcome Pending
Automators AI ecommerce earnings
Risk pattern: AI-boosted earnings claim without customer outcome distribution, workload disclosure, or cost basis
Evidence gap: Customer sample size, median profit and loss, total investment required, time to break even, passive-investor versus sel…
See evidence gap and buyer questions → - FTC ROI / Outcome Pending
FBA Machine AI storefront income
Risk pattern: Income promise tied to AI-powered software without full cost, customer sample, and failure-rate disclosure
Evidence gap: Customer result distribution, total investment range, inventory and platform fees, ad spend, fulfillment and labor costs…
See evidence gap and buyer questions → - FTC ROI / Outcome Pending
Ecommerce Empire Builders AI income
Risk pattern: AI-powered business opportunity claim without typical-results evidence, cost disclosure, or customer-loss context
Evidence gap: Typical customer result data by offer type, median net income, unsuccessful customer share, total cost for training vers…
See evidence gap and buyer questions → - SEC Vague AI-powered Reviewed
SEC Rimar AI trading platform
Risk pattern: AI-driven investment platform claim without evidence of model ownership, live use, trading workflow, or investor disclosure support
Evidence gap: Model description, ownership and vendor involvement, live-deployment evidence, trading workflow role, client-account cov…
See evidence gap and buyer questions → - SEC Automation / Replacement Reviewed
SEC Presto AI voice automation
Risk pattern: AI automation claim without disclosure of third-party technology, human intervention rate, or completion metric definition
Evidence gap: Technology ownership and vendor role, deployed-unit coverage, human intervention rate, order-completion metric definitio…
See evidence gap and buyer questions → - FTC Accuracy / Performance Pending
FTC Content at Scale AI detector
Risk pattern: Headline accuracy number without disclosed benchmark, test corpus, or error rate records
Evidence gap: Benchmark design and test corpus description, content types and categories included, AI model versions covered at time o…
See evidence gap and buyer questions →
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