What AI can’t measure may matter most. I was honored to join Dr. Michelle Ament and a panel of experts for this edition of the Insight Jam Mesh Lab — a monthly series designed to go beyond the hype and have real, substantive conversations about how humans learn and work in an AI-driven world.
This session focused on reclaiming the “Human Advantage” — and what it actually looks like to operationalize uniquely human skills like curiosity, empathy, and ethical reasoning in both K–12 education and the modern workforce. Because what AI can’t measure — the depth of a student’s thinking, their capacity for empathy, their ethical judgment — is exactly what we need to be developing more intentionally.
In this session, we cover:
- Why traditional assessments are failing students and educators
- How AI can paradoxically help scale human connection
- What conditions leaders must create to foster psychological safety and innovation
- How to shift from acquiring knowledge to developing the wisdom needed to partner with AI effectively
- What it means to re-engineer human capability in an AI-first world
Mesh Lab is a year-long, monthly series of expert panel discussions focused on re-engineering how humans learn and work as artificial intelligence becomes embedded across society. Learn more and continue the conversation at insightjam.com
