As artificial intelligence moves from speculative tech to a core consumer product, a new legal phenomenon has emerged: AI washing. Mirroring the trajectory of “greenwashing,” AI washing involves the exaggeration or misrepresentation of a product’s AI capabilities.
SwissCognitive Guest Blogger: Laura Protzman – “AI Washing and the Law: Emerging Risks and Enforcement Trends”
At the 9th Annual Legal, Regulatory and Compliance Forum on Advertising Claims Substantiation, a definitive shift in the legal landscape was identified: AI washing—the exaggeration or misrepresentation of artificial intelligence capabilities—has moved from a hypothetical concern to a primary focus of regulatory enforcement. As AI becomes a central marketing pillar, the “aspirational” language once common in tech circles is now triggering significant legal and reputational risks.
The New Enforcement Reality
The core takeaway from recent regulatory activity is that traditional advertising law applies with full force to the AI era. High-profile cases involving Apple, Google, and Microsoft demonstrate that even the world’s largest tech companies are not immune to scrutiny when their marketing outpaces their product’s actual functionality.
Specific enforcement actions highlight three major pitfalls:
Premature “Availability” Claims
The National Advertising Division (NAD) scrutinized Apple for claiming certain “Apple Intelligence” features were “Available Now” when the technology had not yet been released. This underscores that disclaimers must be clear, proximate, and not contradictory of the primary claim.
Deceptive Visual Demonstrations
Google’s promotional content for its Gemini AI faced questions for implying a level of seamless, real-time performance that the AI may not consistently deliver. This serves as a reminder that visual demos can create compliance risks by exaggerating capabilities, even in the absence of explicitly false verbal statements.
Lack of Objective Substantiation
Microsoft’s marketing for Copilot 365 was flagged because productivity claims were based on user “perceptions” rather than objective data. Regulators now expect documented support that matches the claim – and in some instances, may require benchmarks or third-party evaluations for any performance-related claims.
Strategic Risks and Compliance Mandates
The legal stakes are substantial. Misleading claims regarding “AI readiness,” “transformative gains,” or “exclusive partnerships” expose companies to FTC investigations, competitor challenges, and private litigation. Legal and compliance officers must ensure that every statement reflects real-world capabilities that are reflected in appropriate substantiation at the exact time of publication.
To mitigate these risks, the piece outlines several essential “proactive” steps for legal oversight:
1. Scrutinize Implied Claims
Review visual demos and written materials for what they imply, not just what they literally state.
2. Verify Timelines
Ensure marketing reflects currently active features, not phased rollouts or future roadmaps.
3. Disclose Limitations
Clearly communicate performance boundaries and situational constraints in a manner the average consumer can easily see and understand.
4. Substantiate Everything
Maintain a “defensible” trail of benchmarks and evaluations for any claim, including regarding speed, accuracy, or efficiency.
Conclusion: The Strategic Imperative
The parallels to “greenwashing” are clear, but the pace of AI enforcement is significantly faster. In an environment where consumer trust in AI is fragile, “hype” is a liability. Companies that prioritize transparency and education will not only avoid the “AI claims reckoning” but will also gain a strategic advantage by building long-term credibility and trust with consumers. Accuracy in AI communication is no longer just a legal obligation, it is a competitive necessity.
About the Author:
Laura Protzman is an attorney at BBB National Programs, focusing on advertising law, emerging technology, and the evolving standards that govern AI related marketing claims. In her role, she supports the National Advertising Division (NAD) in reviewing complex issues involving claim substantiation, consumer perception, and the legal risks that arise when companies overstate or misrepresent AI capabilities. Laura’s work sits at the intersection of law, technology, and consumer protection, helping shape industry guidance as AI becomes a central focus of regulatory scrutiny.
Der Beitrag AI Washing and the Law: Emerging Risks and Enforcement Trends erschien zuerst auf SwissCognitive | AI Ventures, Advisory & Research.
