Designing Governance for Trustworthy and Responsible AI

Session Lead: Liz Grennan

Session Description: Led by Liz Grennan, Partner at McKinsey and HDSI Visiting Fellow, this session will provide a practical approach to building trustworthy and responsible AI systems using real world examples from diverse industries. Through case studies and discussions with industry leaders, participants will:

• Explore accessible strategies for demystifying AI and addressing the risks of being left behind in technological advancements
• Learn how to build agile, scalable systems that integrate effective controls while fostering innovation
• Examine the ethical imperatives of AI and the importance of proactive governance, irrespective of existing regulatory frameworks

This session is designed for executives, policymakers, and business leaders seeking actionable insights to navigate AI governance with confidence.

Host or Publisher Harvard Data Science Initative