About

The Cognitive Integrity Lab explores how artificial intelligence is changing the way we think, learn, and build trust.

As AI outputs become indistinguishable from human work, the question of whose judgment lies behind them grows urgent. Did the student wrestle with the essay, or did the model hand it to them? Did the doctor weigh the symptoms, or did the system generate the diagnosis while the doctor clicked through? When work can be produced without the reasoning it once guaranteed, trust becomes hollow.

We develop protocols and systems that verify whether human judgment remains intact when AI mediates our work. 

Questions our research addresses include:

• How can we tell when work is truly our own?

• How can technology support rather than replace authorship and reflection?

• What does trust mean when AI mediates our relationships with others and with our own thoughts?

Our approach draws from philosophy, protocol design, and empirical testing to establish principles for cognitive integrity—ways to keep human judgment visible and verifiable. This work extends to understanding AI as a cognitive environment that requires new frameworks for maintaining human agency. We’re laying the foundation for a new science of mediation: the study of the pathways through which people think and learn when AI sits between them.