San Francisco Demands Apple and Google Delete AI ‘Nudify’ Apps From App Stores

· Source: WIRED - Ai · Field: Legal & Regulatory — Compliance & Risk Management, Regulatory Affairs & Government Relations · Depth: Fundamental Awareness, medium

Summary

San Francisco City Attorney David Chiu has formally demanded that Apple and Google remove 13 AI "nudify" apps from their App Store and Play Store, respectively. These apps, primarily disguised as face-swapping tools, enable users to create nonconsensual deepfake nude images, overwhelmingly targeting women and girls. Chiu asserts that the tech giants are "aiding and abetting" illegal activity and have likely profited millions from these apps, which use in-app payments. Despite both companies having policies prohibiting such content and Google reporting the suspension of "hundreds" of violating apps, researchers from the Tech Transparency Project and Cornell/Georgetown Universities have repeatedly identified similar "dual-use" apps. These apps, some with over 1 million downloads and collectively estimated to have 480 million downloads and \$120 million in revenue, often lack safety measures, with 70% of tested face-swap apps capable of creating nude images. The city is prepared to consider further legal options if the companies do not comply.

Key takeaway

For legal professionals and policy makers addressing online harm, this situation highlights the urgent need for updated regulations. You should scrutinize app store content policies and enforcement mechanisms, especially concerning "dual-use" AI applications that bypass moderation. Consider advocating for legislation that holds platforms accountable for profiting from illegal content, compelling them to implement proactive screening and robust content removal processes. This proactive stance is crucial to mitigate the severe psychological and reputational damage inflicted by nonconsensual deepfakes.

Key insights

"Dual-use" AI apps evade moderation, enabling nonconsensual deepfake creation despite platform policies and severe harm.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Legal Professional, Policy Maker, Tech Journalist

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Editorial summary, takeaway, and curation by AIssential. Original article published by WIRED - Ai.