Part 4 Review
From protecting your information to AI law · short, with analogies · DAY 36-45
Part 4 spent ten days on how things go wrong when they go wrong. It started with protecting your own information and ended with the fact that AI has laws too.
There's no quiz and no experiment here. It's a read-and-move-on page. If a day is fuzzy, jump straight to that day's lesson.
DAY 36 · Protecting your information
Once you type it in, it's out of your hands
Assume that whatever you type into AI leaves your hands the moment you send it. Leave out the things that can pinpoint you — name, address, phone number — and the answer comes out the same. Your friend's face or phone number isn't yours to post anywhere.
DAY 37 · Copyright
"Copying" got one more box to check
"Copying" used to be judged only by how much the result looked like the original. Now there's a second question: what did it learn from before it made anything? Countries answer it differently and court cases are still open, so learn the issue instead of a rule.
DAY 38 · Deepfakes
Your eyes can't tell — the source can
You can't tell by looking — the old trick of counting fingers barely works anymore. Instead of picking apart the screen, follow where it came from. Is it where it should be, and did anyone else film it too?
DAY 39 · Bias in AI
It isn't hate, it's a lean
AI doesn't decide to dislike anyone. If the data it learned from leans one way, its answers lean the same way — that's all. So when a question sorts or picks people, add one more: "What about other cases?"
DAY 40 · Saying when AI made it
One line of credit is a fence around your share
Saying you used AI isn't a confession — it's a name tag. Stay quiet and even the parts you did well get doubted. Split the assignment into pieces and write one line on who did each. That's it.
DAY 41 · Homework and AI: where's the line
Did anything stay in your head?
The test isn't a long rulebook, it's one sentence: did anything stay in your head? Hand the whole thing over and only the finished product is left — you can't explain it. Ask only about the stuck spots and rewrite it yourself, and you keep the work and the skill.
DAY 42 · Fake news
Spotting it is about order, not a sharp eye
Spotting fake news is about order, not about having a sharp eye. Who said it first, when it happened, whether it's anywhere else — just those three, in turn. If even one of them is empty, stop there. Stopping is a decision too.
DAY 43 · AI scams
Hang up, then call back on a number you know
AI scams follow the same steps every time: copy, pretend, rush, demand. Stopping it is almost boring — hang up, then call back on a number you already knew. If it really is your family, calling back changes nothing.
DAY 44 · Not leaning on it too much
Are you the one deciding how much to hand over?
Nobody is saying don't use it — the whole point is whether you decide how much to hand over. It's not 0 and not 100: the most stays with you in the middle. Give it 5 minutes with your own brain first, then hand it over.
DAY 45 · AI has laws too
The bigger the risk, the stricter the rules
AI has laws too. But they don't treat every AI the same way. They sort uses into boxes by how risky they are and set different rules for each. South Korea's AI Basic Act took effect in January 2026.
Part 4 in one line
Ten days in one line: the things to watch out for aren't a list to fear, they're an order to check in.
Part 5 looks inside. We'll open AI up and see how it comes up with those answers.
Learn more
- Privacy Portal (Personal Information Protection Commission, Korea) — check where your information has been used (in Korean)privacy.go.kr
- Gemini Apps Privacy Hub (Google) — the official page on how your chats are used and how to turn that offsupport.google.com/gemini/answer/13594961
- Japan's approach to AI and copyright (Agency for Cultural Affairs, 2024) — a government drawing the limits of its own "training is free" clausebunka.go.jp/seisaku/bunkashingikai/chosakuken/pdf/9…
- Directive (EU) 2019/790, Article 4 — the rule that lets rights holders reserve their work from trainingeur-lex.europa.eu/eli/dir/2019/790/oj/eng
- SynthID-Text, Nature (2024) — planting invisible marks in textnature.com/articles/s41586-024-08025-4
- C2PA Content Credentials specifications — an open standard for recording where and how a file was madec2pa.org/specifications
- Gender Shades (2018) — face-classification programs tested by skin tone and sexproceedings.mlr.press/v81/buolamwini18a.html
- NIST IR 8280 (2019) — an official report measuring demographic differences in face recognition at scalenvlpubs.nist.gov/nistpubs/ir/2019/NIST.IR.8280.pdf
- Guidance for generative AI in education and research, UNESCO (2023) — official guidance on using AI in schoolunesco.org/en/articles/guidance-generative-ai-educa…
- SIFT (The Four Moves), 2019 — the original post proposing the four checking moveshapgood.us/2019/06/19/sift-the-four-moves
- Criminals Use Generative Artificial Intelligence to Facilitate Financial Fraud, FBI IC3 (2024) — the official warning on AI-made voices, photos and videos in scamsic3.gov/PSA/2024/PSA241203
- Your Brain on ChatGPT (2025, preprint) — a look at memory in people who wrote with AIarxiv.org/abs/2506.08872
- AI Act (European Commission) — the risk tiers explained on one page by the people who wrote themdigital-strategy.ec.europa.eu/en/policies/regulator…