The six sessions π Β· one artifact, built across all of them
Bring a real decision. A presenter you are considering, a colleague who has been asked, or a policy you have been told to write. By session 6 you have a written position you can defend.
Should you at all
What consent each vendor actually requires, what enterprise money exempts you from, and why a meta-analysis of 86,000 people says nobody can tell.
βοΈ Session 2 Β· easyConsent and likeness
What a consent form has to contain to be worth anything, why live capture beats an upload, and the clause about leaving that no vendor will write for you.
π Session 3 Β· mediumMaking one that works
Footage requirements, prosody, and the four craft levers that take believability from 24 to 84. Then the point where craft stops helping.
π Session 4 Β· mediumWhat the evidence says
The on-screen face scores d = 0.22 while the script register scores 1.11. Engagement falls with an AI instructor and measured learning does not.
π¨ Session 5 Β· hands-onWhen it is used against you
Arup lost 25 million dollars. LastPass lost nothing and published why. Three seconds of audio is enough to clone a voice.
π Session 6 Β· hands-onThe policy you have to write
Article 50 puts a duty on you as deployer. Four questions no vendor answers, which means your organisation has to.
Your passport π«
Clear all three quiz questions in a session and it gets stamped. Stamps live in this browser only.
What is real here π§Ύ
A course about synthetic media owes you an unusually precise account of its own claims.
| Claim | Status |
|---|---|
| The viseme track and the mouth that follows your typing | Real. Computed from whatever you type, grapheme by grapheme, in your browser |
| The believability and trust scores | A teaching model with two deliberately separate axes. Labelled as a model on the widget |
| Every consent requirement, price and policy quote | Quoted from the vendor's own policy, terms or help page, each with the URL, dated August 2026 |
| The on-screen face is the weakest multimedia lever | Mayer's image principle, d = 0.22, against personalization at 1.11. Corroborated by an N = 108 trial finding lower engagement and identical performance |
| Whether disclosure reduces credibility | Contested, and taught as contested. Single experiments find a penalty; a 47-study systematic review finds no consistent one. Nothing finds a benefit |
| Any FBI or FinCEN dollar figure for deepfake fraud | Deliberately not stated. Both agencies published alerts and neither publishes a loss total |
The knowledge map π§
The whole course at a glance - hover a session to spotlight its concepts, click any node to jump in.