Explore the critical challenges of ethical vulnerability disclosure in AI systems through this 40-minute DEF CON conference talk. Examine how data bias exploitation and model manipulation can amplify security vulnerabilities, while learning to balance transparency with security in AI systems. Navigate through real-world examples and recent disclosure cases to understand the complexities of responsible vulnerability management. Gain insights into developing unified approaches for refining disclosure processes, ultimately working toward enhancing AI system integrity and building stronger public trust in artificial intelligence applications.