New Study Examines Features and Policies for 29 AI ‘Undressing’ Apps

2025-12-23 · Source: Tech Policy Press · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cybersecurity & Data Privacy, AI Ethics & Policy · Depth: Intermediate, medium

Summary

A new study published in *Violence Against Women* by Kaylee Williams examines 29 AI "undressing" apps, which generate non-consensual intimate images (NCII) from a single photo. The research analyzes app features, marketing, and policies through the lens of tech-facilitated gender-based violence (TFGBV). Key findings indicate that these apps are primarily directed at men, trained on images of women, and often market themselves using themes of sexual desire, creative expression, and community. Most apps offer free trials or low-cost access, and two-thirds include referral programs, incentivizing proliferation. While nearly all apps have privacy policies, they focus on user protection rather than subject privacy. Almost half offer takedown procedures. Williams concludes that these apps are not merely AI innovations but vehicles for systemic gender-based violence, objectifying women and commodifying their exploitation, contributing to a pervasive normalization of GBV.

Key takeaway

For CTOs and VPs of Engineering evaluating AI ethics and platform responsibility, this study highlights the urgent need to move beyond simple content takedown policies. Your teams should scrutinize AI model training data for gender bias and implement robust safeguards against misuse that facilitates gender-based violence. Consider how financial incentives and platform design might inadvertently encourage harmful behaviors, and advocate for legislative solutions that address liability and enforcement challenges for AI-generated NCII.

Key insights

AI "undressing" apps are vehicles for systemic gender-based violence, objectifying women and commodifying their exploitation.

Principles

• TFGBV is embedded in information infrastructures and financial incentives.
• Objectification of women is a core function of undressing platforms.
• Legal immunity complicates enforcement against harmful AI content.

Method

The study analyzed 29 AI undressing apps by examining their affordances, marketing materials, and policies, focusing on social dynamics influencing design, use, and impact, after an initial screening of 101 candidates.

In practice

• Identify apps primarily designed for NCII creation.
• Analyze marketing for underlying motivations and target demographics.
• Assess privacy policies for user vs. subject protection.

Topics

• AI Ethics
• Generative AI
• Non-Consensual Intimate Images
• Gender-Based Violence
• AI Regulation

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Ethicist, Policy Maker, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech Policy Press.