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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Encoded Histories
Previously on Chiron: Juniper and her colleagues left the last meeting with more questions than answers, realizing their most important challenge might not be what...
Variable Capture
Previously on Chiron: Juniper left the previous issue with a growing suspicion that the organization’s AI wasn’t merely assisting documentation—it was subtly reshaping the meaning...
Engineered Confidence
Note: All names used in Chiron are fictitious. Additionally, this is the second of eight episodes in which we build a story arc using the...
Recursive Systems
Note: All names used in Chiron are fictitious. Additionally, this is the first of eight episodes in which we build a story arc using the...
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...
