How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape
arXiv:2601.06033 · doi:10.1145/3772318.3791363
Abstract
Generative AI (GenAI) is a powerful technology poised to reshape Trust & Safety. While misuse by attackers is a growing concern, its defensive capacity remains underexplored. This paper examines these effects through a qualitative study with 43 Trust & Safety experts across five domains: child safety, election integrity, hate and harassment, scams, and violent extremism. Our findings characterize a landscape in which GenAI empowers both attackers and defenders. GenAI dramatically increases the scale and speed of attacks, lowering the barrier to entry for creating harmful content, including sophisticated propaganda and deepfakes. Conversely, defenders envision leveraging GenAI to detect and mitigate harmful content at scale, conduct investigations, deploy persuasive counternarratives, improve moderator wellbeing, and offer user support. This work provides a strategic framework for understanding GenAI's impact on Trust & Safety and charts a path for its responsible use in creating safer online environments.
21 pages, 4 tables, 1 figure
References in corpus (8)
- How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries
- Like trainer, like bot? Inheritance of bias in algorithmic content moderation
- SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice
- Content Moderation Justice and Fairness on Social Media: Comparisons Across Different Contexts and Platforms
- Envisioning New Futures of Positive Social Technology: Beyond Paradigms of Fixing, Protecting, and Preventing
- Give and Take: An End-To-End Investigation of Giveaway Scam Conversion Rates
- Listen to what they say: Better understand and detect online misinformation with user feedback
- Design for Hope: Cultivating Deliberate Hope in the Face of Complex Societal Challenges