mlsanityData to 7 Oct 2026

"Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators

arXiv 2601.21028 ↗First posted 28 Jan 2026cs.CY cs.AI cs.HCcited by 3

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Abstract (arXiv)

AI-generated media is radically changing the way content is both consumed and produced on the internet, and in no place is this potentially more visible than in sexual content. AI-generated sexual content (AIG-SC) is increasingly enabled by an ecosystem of individual AI developers, specialized third-party applications, and foundation model providers. AIG-SC raises a number of concerns from older debates about the line between pornography and obscenity to newer debates about fair use and labor displacement (in this case, of sex workers), and has spurred new regulations to curb the spread of non-consensual intimate imagery (NCII) created using the same technology used to create AIG-SC. However, despite the growing prevalence of AIG-SC, little is known about its creators, their motivations, and what types of content they produce. To inform effective governance in this space, we conducted an in-depth study to understand what AIG-SC creators make, along with how and why they make it. Interviews with 28 AIG-SC creators, ranging from hobbyists to entrepreneurs to those who moderate communities of hundreds of thousands of other creators, revealed a wide spectrum of motivations, including sexual exploration, creative expression, technical experimentation, and in a handful of cases, the creation of NCII.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 25 of its 183 references that are in the map. First posted on arXiv 28 Jan 2026.

Builds on

25 of 183 references.

References · 25

  1. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  2. 2023Jailbreaking ChatGPT via Prompt Engineering: An Empirical Studycited by 478
  3. 2024On the Societal Impact of Open Foundation Modelscited by 64
  4. 2023Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystemcited by 49
  5. 2024A Safe Harbor for AI Evaluation and Red Teamingcited by 46
  6. 2024Low-Rank Adaptation for Foundation Models: A Comprehensive Reviewcited by 35
  7. 2023SurrogatePrompt: Bypassing the Safety Filter of Text-to-Image Models via Substitutioncited by 32
  8. 2023Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machinescited by 17
  9. 2025Deepfakes on Demand: the rise of accessible non-consensual deepfake image generatorscited by 15
  10. 2025Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyondcited by 13
  11. 2024AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollockscited by 12
  12. 2023Ethical Frameworks and Computer Security Trolley Problems: Foundations for Conversationscited by 10
13 more
  1. 2024Exploring the Impact of AI-generated Image Tools on Professional and Non-professional Users in the Art and Design Fieldscited by 10
  2. 2024Exploring the Use of Abusive Generative AI Models on Civitaicited by 9
  3. 2024Analyzing the AI Nudification Application Ecosystemcited by 9
  4. 2024Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countriescited by 8
  5. 2025Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Modelscited by 6
  6. 2024"Violation of my body:" Perceptions of AI-generated non-consensual (intimate) imagerycited by 5
  7. 2024Characterizing the MrDeepFakes Sexual Deepfake Marketplacecited by 5
  8. 2025Unveiling AI's Threats to Child Protection: Regulatory efforts to Criminalize AI-Generated CSAM and Emerging Children's Rights Violationscited by 4
  9. 2025Stop the Nonconsensual Use of Nude Images in Researchcited by 4
  10. 2020The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forumscited by 3
  11. 2025Prevalence and Impacts of Image-Based Sexual Abuse Victimization: A Multinational Studycited by 2
  12. 2025When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlinescited by 2
  13. 2025A Manually Annotated Image-Caption Dataset for Detecting Children in the Wildcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 3.

3 papers.