Allie Howe

This talk addresses the critical need for building trustworthy AI systems, emphasizing that responsibility ultimately lies with the user and developer. It defines trustworthy AI as a combination of AI security (protecting AI from external harm) and AI safety (preventing AI from harming the world). The presentation advocates for a shift from traditional DevSecOps to MLSecOps, highlighting the importance of integrating security and safety practices throughout the AI development lifecycle, from build to runtime.