Criminal Liability of Generative Artificial Intelligence Providers for User-Generated Child Sexual Abuse Material

2026-01-07

arXiv.org

AI Summary

This study addresses the unsettled question under current law of whether providers of generative artificial intelligence systems may incur criminal liability when their models are misused to produce child sexual abuse material (CSAM). Employing the German Criminal Code as an analytical framework, the paper systematically integrates legal interpretation—particularly textual analysis—with the technical characteristics of generative AI across multiple operational scenarios. It clarifies the boundaries of criminal responsibility for developers, researchers, and corporate entities, demonstrating that model providers may indeed be held criminally liable under specific technical implementations and policy conditions. Building on these findings, the work proposes compliance-oriented development guidelines and preventive measures to mitigate legal risk, offering interdisciplinary legal guidance for the governance of AI systems.

Technology Category

• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Philosophy and Ethics of AI: Accountability, Interpretability & Explainability
• Computer Vision: Generative Adversarial Networks (GANs) for Vision

Application Category

• Social Networks and Social Media: Generative AI / large language models and their impact on social systems
• Economics, Online Markets and Human Computation: Economic ramifications for generative AI infrastructure and applications
• Responsible Web: Social and technical mechanisms of refusal for web technologies and applications

Abstract

The development of more powerful Generative Artificial Intelligence (GenAI) has expanded its capabilities and the variety of outputs. This has introduced significant legal challenges, including gray areas in various legal systems, such as the assessment of criminal liability for those responsible for these models. Therefore, we conducted a multidisciplinary study utilizing the statutory interpretation of relevant German laws, which, in conjunction with scenarios, provides a perspective on the different properties of GenAI in the context of Child Sexual Abuse Material (CSAM) generation. We found that generating CSAM with GenAI may have criminal and legal consequences not only for the user committing the primary offense but also for individuals responsible for the models, such as independent software developers, researchers, and company representatives. Additionally, the assessment of criminal liability may be affected by contextual and technical factors, including the type of generated image, content moderation policies, and the model's intended purpose. Based on our findings, we discussed the implications for different roles, as well as the requirements when developing such systems.

Problem

• Generative Artificial Intelligence
• Child Sexual Abuse Material
• Criminal Liability
• Legal Challenges
• AI Providers

Innovation

• Generative Artificial Intelligence
• Criminal Liability
• Child Sexual Abuse Material
• Statutory Interpretation
• Content Moderation