What is covered, week by week, and which topics each lecture draws on.
Twelve lectures, each building the method the same week’s casework puts to work. Four carry a full slide deck — weeks 1, 5, 7 and 12 — the rest are shorter, reading-anchored pages meant to be read before the session, not presented in it.
Lecture 01 — The forensic turn
Why "is this real?" became a methods question, and how a course about bullshit became a course about slop
22 February 2027
Lecture 02 — Verification as a practice
SIFT, lateral reading, and why "critically ignoring" something is a skill in its own right
1 March 2027
Lecture 03 — Textual tells
How language models give themselves away, and why every reliable tell has a half-life
8 March 2027
Lecture 04 — Pixels don't lie (usually)
An introduction to image forensics, from reverse search to GAN fingerprints
15 March 2027
Lecture 05 — Faces that never existed
Deepfakes, voice cloning, and two real fraud cases that changed how the field takes the threat
22 March 2027
Lecture 06 — Invisible ink
Watermarking synthetic media, and how quickly a robust-sounding signal turns out not to be
29 March 2027
Lecture 07 — Chain of custody
Content provenance, the C2PA standard, and what it means to sign a file's history rather than guess at it
5 April 2027
Lecture 08 — The arms race
Why detectors keep failing, and what it means that an entire industry now exists to defeat them
12 April 2027
Lecture 09 — Slop at work
Workslop, the office's own version of the problem, and why it hides in plain sight
19 April 2027
Lecture 10 — Who's watching
Platforms, disclosure rules and content moderation at a scale no human team can read
26 April 2027
Lecture 11 — The ethics of accusation
What forensic work owes the person on the other end of a wrong verdict
3 May 2027
Lecture 12 — Closing arguments
What eleven weeks of casework add up to, and where the discipline goes from here
10 May 2027