Despite new laws mandating disclosure for AI-generated content, a survey of 1,601 participants found that labels indicating content was AI-generated did not significantly affect their attitude change toward policies or judgments of message accuracy. This research, detailed in Labeling messages as AI-generated does not reduce their persuasiveness or mitigate their influence on public policy views - PMC, revealed that while AI-generated messages were highly persuasive, influencing public policy views by 9.74 percentage points on average, labeling failed to mitigate this inherent power.
New York is enacting laws to mandate disclosure for AI-generated performers in advertising, but studies show such disclosures do not significantly alter consumer perception or persuasion. This creates a tension: legislative intent to inform clashes with the practical ineffectiveness of mandated labels.
Companies will face increased compliance costs for disclosures that may not achieve their intended effect. This regulatory landscape prioritizes optics over impact. New York's focus on AI content disclosure for advertising appears to be a legislative misfire, imposing burdens without protecting consumers from AI's subtle, yet powerful, persuasive influence.
New York's AI Content Disclosure Laws for Advertising
New York legislation mandates disclosure for AI-generated performers in advertising, a clear regulatory step in the evolving media sector. According to Reuters, this addresses the increasing use of synthetic media commercially. Specifically, two new laws, including S.8420-A/A.8887-B, require disclosure of AI-generated synthetic performers in advertisements, as stated by the governor. This proactive stance by New York aims to establish transparency frameworks for AI content in advertising.
Advertisers and content creators now face increased compliance burdens. This regulatory intervention, while intended to safeguard consumers, places the onus firmly on businesses without guaranteed consumer benefit.
