Today's learning leaders face a critical challenge: moving beyond basic AI tutorials to delivering human skills improvements that complement and align with growing AI capabilities.
While technical understanding matters, AI adoption often stalls because of human obstacles: resistance, lack of critical judgment, and difficulties in finding interlocking alignment between human expertise and the AI acceleration.
In this session, leaders from Harvard Online share what they learned through direct collaboration with enterprise business leaders and learning teams. To address the real workforce challenges companies face today with AI adoption, we brought together faculty from across Harvard University combining expertise from engineering, computer science, business, behavioral science, philosophy and other disciplines to create the AI Leadership Series. This dynamic learning ecosystem combines new courses released every 1-3 months on topics that sit on the jagged edge of AI applications in business transformation bolstered by live events with Harvard's best AI scholars.
Rather than a standard presentation, this interactive masterclass uses real course examples, learner data, and demonstration clips to share our approach to course design. We will highlight how a living series——helps teams develop the path to use AI to drive growth and value.
Key Discussion Topics & Insights:
What Business Leaders Taught Us: How corporate feedback shifted our focus from basic AI courses to delivering a suite of experiences that enhance core human skills such as problem solving, storytelling, critical thinking, and managing organizational change with personalized, highly effective AI process design and skills integration. Cross-Disciplinary Capability: Why mixing perspectives from computer science, behavioral psychology, and business strategy builds stronger, more practical judgment in managers.
Pedagogy That Scales: How active, case-based course design achieves a 95% completion rate on our proprietary LXP and delivers measurable skill growth across large organizations.
Peer Exchange: An open conversation on what enterprise learning leaders are experiencing on the ground and how we can co-create future learning initiatives together.
Continuous & Live Learning Architecture: How we move beyond static courseware by continually updating curriculum content and connecting cohorts directly with Harvard faculty and subject matter experts through live events.
Key Takeaways for Attendees
1. A Tested Model for Human + AI Capabilities: Practical ways to integrate technical AI skills with essential human skills like judgment, resilience, and persuasive communication.
2. Proven Engagement Strategies: Instructional design methods that move employees from passive content consumption to active application and high completion rates.
3. Peer Benchmarking: Insights from fellow learning leaders on cut through vendor noise and evaluating high-impact learning solutions for their workforce.
Check out the incredible speaker line-up to see who will be joining Jim.
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