Closing the Reliability Gap: Practical Strategies with Guarantees for Trustworthy GenAI

This conference talk from MLOps World explores practical strategies for building more reliable generative AI systems. Curtis Northcutt, CEO and Co-Founder of Cleanlab, examines how reliability challenges threaten the long-term value of GenAI as it becomes embedded in production systems across industries. Discover the current landscape of AI reliability, including latest research and tools for identifying and classifying AI system misbehaviors - from simple factual errors to complex reasoning failures that undermine user trust. Learn how these tools integrate with cutting-edge architectures like RAG and Agentic systems. The 38-minute presentation concludes with remediation strategies and a vision for designing AI that collaborates effectively with humans, delivering optimal outcomes with minimal oversight. Understand why the future of AI depends not just on capability, but on creating dependable, trustworthy systems.