Critiquing the Machine: Teaching Your Team to Evaluate AI Like Scientists
David J. Cox PhD MSB BCBA-D, Ryan L. O'Donnell MS BCBA
The green code of The Matrix fades. In its place: a sterile chamber, glass spheres pulsing with future possibilities. Each one is a prediction that can’t be trusted on style points alone.

Welcome to Minority Report—where you don’t accept the output until you can replay the tape, rate it blind, and justify the call.
Why this pivot
In The Matrix arc, we stripped away the illusion: models are math; fluency ≠truth. Minority Report adds a clinical discipline your teams can use to make decisions: treat every AI output like lab data—with preregistered criteria, blind ratings, reliability, and stress tests.
Below, we walk through two end-to-end exercises you can do with your BCBAs and RBTs, then list spin-offs you can deploy next.
Walkthrough 1: The SOAP-Note Summarizer Audit (40–50 minutes)
Goal: Decide whether an AI draft is safe for parent-readable notes—before it ever touches a record.
Chiron: The AI Literacy Series for ABA Professionals
A weekly newsletter exploring how ABA professionals can develop essential AI literacy skills to ensure ethical and effective practice in a rapidly changing field.