The Happy Lab studies how people shape the security, privacy, and real-world use of AI systems. We investigate where human factors create new vulnerabilities, where they unlock better defenses, and how to build safer AI systems in practice.
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Research Areas
How AI is abused, and how abuse is mitigated, in practice.
Analysis of Companies' NCII Mitigations (and Their Gaps) • AI Sexual Content • Norms, Rules, & Moderation of AI Sexual Community • Longitudinal Analysis of AI Detection Methods • Bias in AI Media Moderation • Perceptions of AI Media
How AI can be integrated into security-sensitive environments.
AI Tutor Failures Across Models • AI Cyber Tutors • LLM Use in SOCs • AI Use in SOCs
How sociotechnical factors impact real-world security and privacy of AI.
System security, usable security and privacy, and evaluation of HCI methodology.
Symbolic Exec GUI • Audit Log SoK • Bot Survey Fraud • Survey Fraud SoK • Privacy Zones • Welcoming in Cybersecurity • Sociodemographics
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