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.
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Why LLMs Are Not (Yet) Replacements for Human Judgment
Note: All names used in Chiron are fictitious.
On a Friday evening in early spring, two clinic owners found themselves sitting across from each other...
What Makes a Good Model? And How to Tell If It’s Failing You
Note: All names used in Chiron are fictitious.
By the time Samira got to the office, the dashboard had already made up its mind. A bright...
Designing Effective Prompts for Behavior Science Tasks
The clinic had two new kinds of silence.
The first was a familiar one; the early morning quiet before the first sessions begin, when the...
Avoiding Harm: Red Flags in AI Tools for Behavior Analysts
The Dinner After the Conference
Note: All names used in Chiron are fictitious.
The conference center lights faded behind them as Jordan and Morgan (both...
Regulation, Labor, and the Future of Clinical Work
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The Walk Between Meetings
Note: All names used in Chiron are fictitious.
The conference hallway had that familiar sound. Rolling cases. Coffee cups clinking....
Teaching Ethics in the Age of AI
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In Idiocracy, the world doesn’t fall apart because people become evil. It falls apart because the system keeps rewarding what’s easy.
Convenience wins, repeatedly....
Cleaning, Structuring, and Feeding Data to Machines (and Why It Matters)
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In Idiocracy, the world doesn’t collapse because people become malicious. It collapses because the system becomes sloppy and then starts rewarding the sloppiness.
Nobody is...
Hidden Algorithms, Visible Consequences: Applied AI Use Cases
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At the annual ABA conference, the exhibit hall was louder than usual. Booths no longer promised only cleaner graphs or better data collection. They...
Behavior Analysts as AI Critics: A Professional Responsibility
On a Friday morning that felt indistinguishable from most others, Maya noticed something odd.
Maya is an RBT, sharp, conscientious, and six months into a...
A Tale of Two Systems: Comparing Natural and Artificial Intelligence
In Minority Report, the precogs don’t solve crimes. They don’t investigate context. They don’t weigh motives. They don’t consider what changed between the vision and...
Using AI in Practice: What Works, What Doesn’t, and Why
When the System Fails
January has a particular feel in clinics. The calendar flips, authorization clocks reset, and suddenly the operational friction that was barely...
The Cost of Carelessness: Real Risks from Misused AI Tools
When the System Fails
In Minority Report, the most dangerous failures were procedural.Â
A name entered incorrectly. A vision misinterpreted. A safeguard was bypassed because...
