About
The idea behind the course.
The course is built on one conviction: the thinking that catches a confident-but-wrong person also catches a confident-but-wrong machine.
The premise
AI was trained on us.
The difference between AI that accelerates a lawyer and AI that ends a career is rarely the tool. It is what the lawyer puts in front of the model, how they ask, and what they check. Since July 2026 the Supreme Court has held that citing unverified AI-generated authority is professional misconduct, and that a decision resting on hallucinated material is no decision at all.
“Use AI responsibly” is common advice; the how is rarely taught. It is old and well understood: the psychology, statistics and computer science that explain why a confident answer can still be wrong. This course teaches that toolkit and points it at the machine.
The guide
Who teaches this
the same mistake, in a judgment and in a machine
Draft bio
Part technologist, part storyteller, your host has spent years building and explaining AI systems, and watching smart people get fooled by them.
The course blends computer science, statistics, psychology and a fair amount of theatre. Every idea runs as an experiment on the room or is built live with it, and every session lands on the work a law student does with AI: briefing a model, reading long judgments, building a research workspace, checking authorities, and never shipping an unverified answer.
The approach
Something happens live. Then you do it.
The room feels the effect in an experiment on itself and watches a real model do the same, or it builds the prompt, the workspace or the pipeline with the presenter. Students then repeat the technique on their own work after the session.
- 01SOMETHING HAPPENS LIVE
An experiment on the class, or a build-along
The room commits an answer on their phones and sees itself fooled, or builds the prompt, the workspace or the pipeline live with the presenter.
- 02THE MECHANISM
Why the machine does that
The effect explained from how a language model works, so it can be predicted next time rather than memorised.
- 03ON A REAL TOOL
Shown on a real tool
Proved live on a free-tier account, with designated moments where the same task runs on a stronger model beside it.
- 04A NAMED SKILL
One thing to do on Monday
A practical technique, demonstrated in the lab and repeated by students on their own work.
Also from Computational Thinking
The same idea, pitched for grades 8–12.
A live, in-school course: four standalone 60-minute sessions with live clicker experiments, built for top CBSE and international schools.