Schedule
AI Leadership Week™ 2027
Dates: May 11–13, 2027 (Mon–Thu)
Times: 10:00–11:30 a.m. CST & 3:00–4:30 p.m. CST
Theme: Inclusive & Sustainable Leadership
Day 1 – Monday, May 11
10:00 a.m. — Keynote: “AI as a Catalyst for Leadership Evolution”
This keynote explores how AI reshapes not just operations, but the very essence of leadership. Executives will reflect on how emerging technologies challenge traditional leadership hierarchies and create opportunities for more inclusive, adaptive models of guiding teams and enterprises.
3:00 p.m. — Panel: “AI in Inclusive and Equitable Leadership”
A panel of corporate, nonprofit, and government leaders discuss how AI can both hinder and advance diversity, equity, and inclusion. They’ll highlight strategies for reducing bias in algorithms, ensuring representation in datasets, and promoting equitable access to AI-driven opportunities.
Day 2 – Tuesday, May 12
10:00 a.m. — Workshop: “Using AI to Enhance Employee Engagement”
An applied session where participants explore AI-driven tools for improving employee satisfaction, productivity, and wellness. Leaders work through case exercises on predictive workforce analytics, performance support systems, and AI-enabled communication platforms.
3:00 p.m. — Roundtable: “Governance & Global Regulation of AI”
This roundtable focuses on adapting to evolving global policies, from the EU AI Act to emerging U.S. standards and international frameworks. Leaders debate how organizations can remain agile, compliant, and ethical while navigating fragmented regulatory environments.
Day 3 – Wednesday, May 13
10:00 a.m. — Seminar: “AI Risk Management for Executives”
This session equips leaders with tools to anticipate and mitigate risks unique to AI systems. Topics include reputational risk from biased outcomes, compliance risk from shifting regulations, and operational risk from over-reliance on automation.
3:00 p.m. — Fireside Chat: “Partnerships & Ecosystem Strategies”
Industry leaders and venture investors share insights on how partnerships, acquisitions, and ecosystem collaborations accelerate AI adoption. Discussion emphasizes how executives can identify the right allies to scale responsibly and sustainably.