
I bring scientific rigor to executive decision-making and executive authority to scientific research. At the micro level, I shape how AI tools get built through model evaluation, measurement design, and applied development research. At the meso level, I study what those tools change about cognition, trust, identity, and collaboration. At the macro level, I redesign organizations to become AI-enabled and determine their frontier. Everything I build is grounded in data, guided by values, and pointed toward human flourishing.
"One accurate measurement is worth a thousand expert opinions."
Grace Hopper
My research spans the full lifecycle of AI in organizations: from the applied development research that shapes how models get built, to the organizational redesign that makes them useful, to the science of what they change about human cognition, trust, and collaboration. Three questions drive the work.
The Human-AI Collaboration Framework is a methodology for co-designing organizations around how people actually think, make decisions, and build expertise. When AI enters a workflow, the roles, team structures, and decision rights around it need to be architected with the same discipline as the technology.
Collaborative Intelligence is what happens when humans and AI develop new capabilities together, not just divide tasks. My research identifies three mechanisms it requires: complementarity, co-evolution, and boundary-setting. Without all three, organizations automate what they already have instead of building what they could become.
Trust Architecture is the science of designing appropriate reliance. My work studies how decision-makers calibrate their judgment alongside AI, what evidence builds confidence, how autonomy should expand, and what breaks when organizations leave this process to chance.
A new podcast with Fergus Kidd. Fifteen minutes. Three questions. No fluff. No filter.
Without a north star, readiness optimizes for deployment speed rather than strategic value.
Four strategic patterns that explain how organizations actually restructure around AI. A framework for diagnosing where transformation stalls and what separates genuine change from capability theater.
An experiment in whether authorship survives translation by AI.
Fifteen minutes. Three questions. No fluff. No filter. With Fergus Kidd. First episode April 2026. Look for us wherever you listen.
Speaking · Workshops · Advisory · Research Collaboration
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