LILA ~ Learning Innovations Laboratory at the Harvard Graduate School of Education

Looking for content and documents from our Gatherings? Login

  1. Marga Biller

    LILA Theme 2026-2027 Humanity at the Helm

    by
    Comment June 19, 2026
    Organizations are at an inflection point. AI is not just accelerating how we work; it's restructuring what work is, who can do it, and how people and AI work together to create value—faster than our institutions' ability to adapt. The central question we explore is: How do we design leadership, work, and culture as an integrated system so that technological capability strengthens rather than erodes what makes organizations resilient and human? Get in touch if you are a senior leader who would like to be part of this year's exploration.
    Read more...
  2. Marga Biller

    The Confidence Trap: Why AI -Ready Organizations need to Reward Judgment Over Persuasion

    by
    Comment March 25, 2026
    Persuasiveness and accuracy are now diverging.  We're entering an era of "confident wrongness " - outputs that are convincingly wrong. The organizations that will be most resilient are those that build muscle in AI-human partnership.  Not AI replacing humans. Humans validating, questioning, and choosing wisely with AI. Your competitive advantage isn’t the AI. It’s the judgment behind the decision you make with it.
    Read more...
  5. Marga Biller

    Why Your AI Strategy Might Be Destroying Your Organization’s Future (And What to Do Instead)

    by
    Comment January 16, 2026
    This year, our shared inquiry focuses on Resilience in the Age of AI how organizations can survive and thrive amid AI-driven disruption while preserving their core identity, purpose, and values.  Across our gatherings to date, several powerful themes have emerged. Below are five key insights each tied to concrete challenges organizations are facing right now around skills, structures, and processes in an AI-enabled world.
    Read more...
  6. Marga Biller

    How strong is your organizational Skill Code?

    by
    Comment January 16, 2026
    The paradox few are talking about is that while AI delivers 10-15% productivity gains for 80% of your workforce, it's simultaneously dismantling the expert-novice relationships that have built human capability for centuries. This means that new employees must no longer have development opportunities creating a situation where they are in effect entering the organization at the mid-career level with little or no experience or pathways for development..
    Read more...
  7. Marga Biller

    Does your organization have an AI pre-deployment review process? If not, you should.

    by
    January 16, 2026
    Organizations fail when they treat AI adoption as the endpoint rather than one step in a continuous strategy. Measuring success by usage rates alone—celebrating "more people using AI"—confuses the how with the what. Before deploying any AI tool, leaders must establish a pre-deployment review process that requires clear answers to all five questions before any AI tool goes live—and build ongoing monitoring to ensure the answers remain valid as systems evolve.
    Read more...
  8. Marga Biller

    Join us for the June 10th LILA Summit: Resilience in the Age of AI

    by
    Comment January 16, 2026
    In this context of mounting complexity, uncertainty, and fatigue, resilience is no longer just a personal trait—it is an essential strategy and practice, evolving alongside the intelligent systems that are rewiring our environments in real time. The challenge before us is not simply to withstand disruption, but to harness and adapt to it. Resilience is about the ability to prepare for (readiness), withstand and manage (response), and recover/grow from (resurgence) disruptions. All three are interconnected stages that together define and strengthen resilience in various contexts. This year, we will explore what fosters resilience at every level—individual, team, and organization—in a world where learning, adaptation, and decision-making are increasingly augmented by AI.v
    Read more...
  9. Marga Biller

    by
    Comment January 16, 2026
    What Most Organizations Get Wrong. When you put efficiency above all else, you risk erasing the hidden networks and subtle flows of human knowledge that fuel innovation. And you vastly overestimate what AI can achieve on its own, especially in the messy realities of business.
    Read more...
12345›

Harvard Graduate School of Education