Role: Panel moderator and AI adoption strategist at Tunnel, a nonprofit organization working in vaccines in Geneva.

Full panel report here

Key Contributions:

• Real-world AI Challenge: Shared immediate organizational pressure: someone from his hospital that morning expressed confusion about AI adoption - "we have a lot of noise around AI. People want it, some people don't, we don't know how to tackle it."

• Regulatory Training Insight: Discovered how to leverage compliance requirements for adoption: using mandatory training on AI decision-making risks to actually facilitate AI understanding and adoption within his organization.

• Implementation Framework: Introduced the "leadership, crowd, and lab" framework with feedback loops for organizational AI adoption - leadership providing vision and funding, crowd enabling champions to test and identify use cases, and lab developing robust solutions.

• Niagara Falls Metaphor: Described AI development pace as an unstoppable, massive force: comparing daily Microsoft updates and new AI capabilities to the constant, overwhelming power of Niagara Falls.