Open a case file on a system that runs your own life.

Pick one automated system you are personally subject to — your TikTok or Instagram feed, your school's proctoring or plagiarism software, Spotify, a bank or payment app, a game's matchmaking, a hiring filter you've faced. Not one from today's lesson.

Run the protocol and write it up as a one-page case file (250–300 words):

1. The system — name it, and what it does to you specifically.
2. The move — Generate, Rank, Predict, or Detect? Give the evidence.
3. The decision boundary — where do you stop having a say? Does a human actually check it, or does everyone just assume one does?
4. The failure mode — what does it look like when this system is wrong? Be concrete.
5. Who pays — when it's wrong, who carries the cost? (Hint: usually not the company.)
6. Verdict — one sentence: is this system in the danger zone, and why?

You pass when your decision boundary is honest (not "a human reviews it" when nobody really does) and your cost is concrete and real — something that actually happens to a real person, not "it could theoretically be unfair." This case file is the first piece of evidence in your AI Literacy Portfolio, and the raw material you'll bring to the Tribunal.