How Generative AI Empowers Attackers and Defenders Across the Trust & Safety Landscape

要旨

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.

著者
Patrick Gage Kelley
Google, New York City, New York, United States
Steven Rousso-Schindler
CSU Long Beach, Long Beach, California, United States
Renee Shelby
Google Research, San Francisco, California, United States
Kurt Thomas
Google, Mountain View, California, United States
Allison Woodruff
Google, Mountain View, California, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Scam Experiences

P1 - Room 134
7 件の発表
2026-04-14 18:00:00
2026-04-14 19:30:00