Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Learn to implement responsible governance frameworks for Generative AI systems in this 33-minute conference talk from MLOps World. Discover a comprehensive, multi-level approach to governing GenAI across different organizational contexts, drawing from established frameworks including NIST, MIT, and the Turing Institute, combined with practical insights from industry roundtables. Explore actionable strategies for risk mitigation in real-world GenAI deployments, including role-based implementation approaches that clarify responsibilities across teams and organizations. Master sector-specific risk assessment tools tailored to different industries and use cases, while understanding how to establish scalable governance practices such as sandbox testing environments and continuous monitoring systems. Gain hands-on experience with the Responsible GenAI Governance Guide (ResAI), a chatbot-powered platform designed to help organizations build governance literacy and support decision-making processes at scale. Understand how to operationalize responsible AI principles through practical frameworks that bridge the gap between theoretical governance concepts and day-to-day implementation challenges in production GenAI systems.
