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.

This year at LILA we have been exploring the theme of Navigating the Cs of Change—Members have been applying emerging insights to critical initiatives inside their organizations—rethinking leadership, designing future-ready systems, and shaping strategy for uncertain times. Specifically, we have looked at how organizations can transform conceptions, develop new capacities, and shift complex systems to thrive in a rapidly evolving world. Drawing on emerging research from social psychology, political science, ecology, and organizational studies, we have examined how to shift deeply held mindsets, foster the skills needed for adaptive leadership, and influence large-scale systems of work. From grappling with disinformation and shifting values, to...

Anna-Sophie Ulfert-Bank's session centered on unraveling the complexities of trust within our human-AI collaborations. She shed light on the challenges and intricacies of defining and measuring trust in dynamic team settings, and shared her evolving research into the nature of trust within AI teams, considering factors ranging from technology to human dynamics and context.