AI as a PARTNER (and not a leader) in Multidisciplinary Teams

We will start with an admission: calling AI a “partner” is a deliberate provocation. Teams already talk to these tools as if they were colleagues — and that quiet anthropomorphizing is precisely where judgment slips. This session reclaims the word on our terms. A partner here means a human-led cognitive partner: a tool that contributes to thinking but never directs it, and whose every contribution passes through a human checkpoint before it touches a decision.

AI used this way earns its seat. It can surface patterns a busy team overlooked, flag trends worth a second look, and scaffold supports when capacity runs short. The danger is not that AI helps — it is that it helps unsupervised, where its output starts to carry an authority no one deliberately granted it.

Working through a case study piece by piece, we will build a defensible framework — grounded in the BACB Ethics Code’s accountability and scope-of-competence standards — for deciding which team tasks AI may assist and which demand independent human judgment. Only once that scaffolding is in place do we turn to the stakes: how unsupervised AI can manufacture false objectivity and scale bias and stigma faster than any individual practitioner could. Participants leave with a take-home worksheet to carry the framework back into their own teams.