AI governance emerges as the critical code linking algorithmic risks to organizational reality. This session reveals practical approaches for navigating AI bias, transparency, and accountability while connecting evolving regulatory requirements to responsible innovation. Discover how to see through the complexity of AI systems and establish meaningful connections between artificial intelligence risks and strategic decision-making frameworks.