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

arXiv: https://arxiv.org/abs/2601.21028 · HTML: https://mlsanity.com/paper/2601.21028/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 25 of its 183 references that are in the map.
- First posted on arXiv 28 Jan 2026.

## Builds on (most cited first, 25 of 25)

- [SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis](https://mlsanity.com/paper/2307.01952/) (2023)
- [Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study](https://mlsanity.com/paper/2305.13860/) (2023)
- [On the Societal Impact of Open Foundation Models](https://mlsanity.com/paper/2403.07918/) (2024)
- [Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem](https://mlsanity.com/paper/2310.02521/) (2023)
- [A Safe Harbor for AI Evaluation and Red Teaming](https://mlsanity.com/paper/2403.04893/) (2024)
- [Low-Rank Adaptation for Foundation Models: A Comprehensive Review](https://mlsanity.com/paper/2501.00365/) (2024)
- [SurrogatePrompt: Bypassing the Safety Filter of Text-to-Image Models via Substitution](https://mlsanity.com/paper/2309.14122/) (2023)
- [Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines](https://mlsanity.com/paper/2311.10599/) (2023)
- [Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators](https://mlsanity.com/paper/2505.03859/) (2025)
- [AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks](https://mlsanity.com/paper/2401.06178/) (2024)
- [Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond](https://mlsanity.com/paper/2501.11457/) (2025)
- [Ethical Frameworks and Computer Security Trolley Problems: Foundations for Conversations](https://mlsanity.com/paper/2302.14326/) (2023)
- [Exploring the Impact of AI-generated Image Tools on Professional and Non-professional Users in the Art and Design Fields](https://mlsanity.com/paper/2406.10640/) (2024)
- [Exploring the Use of Abusive Generative AI Models on Civitai](https://mlsanity.com/paper/2407.12876/) (2024)
- [Analyzing the AI Nudification Application Ecosystem](https://mlsanity.com/paper/2411.09751/) (2024)
- [Non-Consensual Synthetic Intimate Imagery: Prevalence, Attitudes, and Knowledge in 10 Countries](https://mlsanity.com/paper/2402.01721/) (2024)
- [Characterizing the MrDeepFakes Sexual Deepfake Marketplace](https://mlsanity.com/paper/2410.11100/) (2024)
- [Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models](https://mlsanity.com/paper/2503.09805/) (2025)
- ["Violation of my body:" Perceptions of AI-generated non-consensual (intimate) imagery](https://mlsanity.com/paper/2406.05520/) (2024)
- [Unveiling AI's Threats to Child Protection: Regulatory efforts to Criminalize AI-Generated CSAM and Emerging Children's Rights Violations](https://mlsanity.com/paper/2503.00433/) (2025)
- [Stop the Nonconsensual Use of Nude Images in Research](https://mlsanity.com/paper/2510.22423/) (2025)
- [The Tools and Tactics Used in Intimate Partner Surveillance: An Analysis of Online Infidelity Forums](https://mlsanity.com/paper/2005.14341/) (2020)
- [Prevalence and Impacts of Image-Based Sexual Abuse Victimization: A Multinational Study](https://mlsanity.com/paper/2503.04988/) (2025)
- [When Testing AI Tests Us: Safeguarding Mental Health on the Digital Frontlines](https://mlsanity.com/paper/2504.20910/) (2025)
- [A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild](https://mlsanity.com/paper/2506.10117/) (2025)

## Built on by (most cited first, 3 of 3)

- [Characterizing Resource Sharing Practices on Underground Internet Forum Synthetic Non-Consensual Intimate Image Content Creation Communities](https://mlsanity.com/paper/2604.12190/) (2026)
- [From Celebrities to Anyone: Characterizing AI Nudification Content, Technology, and Community Dynamics on 4chan](https://mlsanity.com/paper/2606.27234/) (2026)
- [Detecting CSAM Text-to-Image LoRAs From Weights](https://mlsanity.com/paper/2607.25750/) (2026)

## 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.