100% Jailbreak Success? The Hard Truth About AI Safety, with Dr. Saadia Gabriel (Part 2)

What actually happens when AI systems fail in the real world? In this final part of our conversation with Saadia Gabriel (UCLA), we unpack one of the most urgent challenges in modern AI: why even the most advanced models remain vulnerable to manipulation - and what that means for safety, fairness, and society. From multi-turn jailbreaking attacks with near 100% success rates to misinformation shaping human beliefs, this conversation goes beyond surface-level concerns and dives into how harms actually emerge in deployed systems. We explore: Why current guardrails are not enough How realistic attack scenarios differ from academic benchmarks The connection between model vulnerabilities and societal harm What AI can (and cannot) do about misinformation and persuasion The open research problems that still don’t have solutions Resources & Links: Generative AI in the Era of 'Alternative Facts' ModelCitizens: Representing Community Voices in Online Safety Translation as a Scalable Proxy for Multilingual Evaluation Connect with Dr. Saadia Gabriel: https://x.com/GabrielSaadia https://bsky.app/profile/skgabrie.bsky.social