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Bright Minds. Forensic Science Forensic Science course pack
Resources · AI literacy

AI-use guide.

We don’t ban AI — we teach it. Here is what’s encouraged, what’s off-limits, and how to study with it honestly.

Most schools are still arguing about whether students should be allowed to touch AI. We think that argument is already over. The tools are in every pocket, woven into search engines, homework apps, and writing software your child already uses. Pretending otherwise doesn’t protect anyone — it just leaves students to figure it out alone, in secret, with no one teaching them the difference between using a tool well and laundering its output as their own work.

So our posture is simple, and it has two halves. First, we teach AI literacy — how to prompt, how to interrogate, how to catch the machine when it lies. Second, we assess in ways AI can’t fake. A student demonstrates understanding out loud, at a bench, defending a real lab notebook and working a live piece of evidence in front of a person. There is no prompt that lifts a latent fingerprint or reads a blood-spatter angle for you. When the assessment is honest, the studying becomes honest too, and AI turns back into what it should have been all along: a tutor that never gets tired, not a ghostwriter.

The course’s AI posture

We treat AI the way a good forensic science teacher treats the word “match.” It is genuinely useful and genuinely capable of doing damage, and the answer to both facts is the same: instruction, not prohibition. A student who has never been taught how AI fails — how it invents citations, overstates a fingerprint “match” with total confidence, mis-states what a DNA probability actually means, and tells you what you want to hear — is far more dangerous to their own learning than one who has been shown exactly where the tool breaks.

Our aim is a student who can sit down with an AI assistant and treat it like a sharp, fast, slightly unreliable study partner: useful for drilling evidence-collection protocols, useful for re-explaining DNA profiling three ways, never trusted on a match statistic without checking the arithmetic, and never — not once — allowed to stand in for the thinking the student is supposed to be doing. The line we draw is not about the tool. It is about whose understanding ends up in the work.

Encouraged vs. off-limits

The examples below distinguish help with studying from replacing the student’s work. The teacher should explain what assistance is permitted for each task. Students should be able to describe how they used a tool and check its suggestions.

Encouraged vs. off-limits
✓ Encouraged ✗ Off-limits
Drilling facts you must know cold — ask AI to quiz you on evidence-collection protocols, fingerprint pattern types, or chain-of-custody rules until you can recite them without it. Submitting AI text as your own lab notebook. The notebook is a record of what you measured and observed. Borrowed words describing an evidence workup you didn’t run are a falsified record.
Re-explaining hard concepts — have AI explain why a DNA “match” is a probability, or what a blood-spatter angle really tells you, three different ways until one lands. Having AI compute your lab results for you. Pasting your spatter measurements in and copying out the angle of impact, without doing — and understanding — the calculation yourself.
Checking your own work after you’ve done it — work through a match probability yourself, then ask AI to verify and explain any mistake. Copying a conclusion or answer without verifying. Pasting an AI result into your work without checking that the evidence or the statistics actually support it — they often don’t.
Summarizing your own notes — paste in your notes on DNA profiling and ask AI to summarize, then check whether the summary matches what you meant. Outsourcing the reasoning. Asking AI for the conclusion of an evidence-analysis problem you were assigned to reason through yourself.
Debugging your reasoning — show AI your line of thinking on a blood-typing problem and ask where the logic breaks, then judge whether it’s right. Disguising the source. Editing AI output just enough to hide where it came from, then presenting it as original thought.

After using AI, put the response aside and try to explain or complete the task yourself. If you cannot, you need more practice or instruction. That difficulty is not itself dishonesty. Presenting someone else’s reasoning or invented observations as your own is a different matter.

Why demonstrations matter

The instructor observes practical work, checks the student's own record, and asks follow-up questions. AI can support conceptual rehearsal but cannot certify what the learner actually did. A polished response or a timed conversation alone does not prove independent work.

Practice with AI; assess the student's science and practical evidence with a person.

Curated prompt library

Use an adult-approved AI tool and follow its age and account rules. These prompts are for practice only: don't upload private records or use them for help on a restricted assessment.

Step 1: Paste the setup and fill in the brackets

Replace each [bracket] with text copied from this course's pages. Paste the text itself, not a link: many AI tools can't open links and may guess what a page says. Copy only what you're practicing, such as one task and its answer. Then start a new chat and paste the setup first. The AI should just reply “Ready.”

You are my Forensic Science practice coach, not my grader.
Unit: [unit number and name]
My level: [the level I'm working at, as named on my unit page]
What I'm practicing: [the learning target or task]
Reference: [the task, data, and answer from my unit page]

Rules for you:
- Ask one question at a time and wait for my answer. Don't assume I'm wrong.
- Check my work against the reference, and accept correct answers.
- If something is missing or unclear, ask me. Never make up facts, sources, or observations.
- Give one hint before I retry, and don't show me answers I haven't tried yet, even if I ask. If I say I don't know, give me a hint and let me try again before you explain. Never write work I will hand in.
- Never give me a score, rubric level, or pass. Only my instructor judges mastery.
- Use only made-up or anonymous data. Don't ask for names, contact details, photos, family traits, or private health records.
- Don't suggest lab steps, chemicals, cultures, or dissection cuts, and don't give medical, diet, or exercise advice. If I ask about my own health, tell me to ask a trusted adult or a healthcare professional. My instructor approves all hands-on work.
- When I say I'm done, stop asking questions. At the end, tell me what I practiced, what I showed I understand, what is still unclear, and one thing to practice next. If I gave you rubric criteria, name each one and say whether my answers covered it yet.

Reply only "Ready" and wait for my next message, which tells you what we are practicing.
See a filled-in example

Here is the setup filled in with a real Foundation task from 01 · Crime Scene & Evidence Basics. Copy it to try a chat, then swap in your own unit, level, and task.

You are my Forensic Science practice coach, not my grader.
Unit: 01 · Crime Scene & Evidence Basics
My level: Foundation
What I'm practicing: converting the scene positions to a 1:20 sketch and finding the sketch distance between two items
Reference: Made-up paper scene (item: x in cm, y in cm, what was found). E-01: 120, 60, white envelope. E-02: 180, 60, blue card. E-03: 120, 140, round sticker. Answer from my unit page: "E-01 is at (6, 3) cm, E-02 at (9, 3), and E-03 at (6, 7). The E-01/E-02 sketch separation is 3 cm."

Rules for you:
- Ask one question at a time and wait for my answer. Don't assume I'm wrong.
- Check my work against the reference, and accept correct answers.
- If something is missing or unclear, ask me. Never make up facts, sources, or observations.
- Give one hint before I retry, and don't show me answers I haven't tried yet, even if I ask. If I say I don't know, give me a hint and let me try again before you explain. Never write work I will hand in.
- Never give me a score, rubric level, or pass. Only my instructor judges mastery.
- Use only made-up or anonymous data. Don't ask for names, contact details, photos, family traits, or private health records.
- Don't suggest lab steps, chemicals, cultures, or dissection cuts, and don't give medical, diet, or exercise advice. If I ask about my own health, tell me to ask a trusted adult or a healthcare professional. My instructor approves all hands-on work.
- When I say I'm done, stop asking questions. At the end, tell me what I practiced, what I showed I understand, what is still unclear, and one thing to practice next. If I gave you rubric criteria, name each one and say whether my answers covered it yet.

Reply only "Ready" and wait for my next message, which tells you what we are practicing.

Next, you would paste Work through data and replace its bracket with the same scene table.

Where to find each part:

Step 2: Pick a prompt

Paste one of these after the setup, and fill in its brackets the same way.

Help me understand

Use it when a passage or idea on your unit page isn't making sense.

Here's a passage I'm stuck on: [paste the paragraph]. Explain it a different way, at my level, with an everyday example. If it's about something like why a DNA match is a probability or what a blood-spatter angle tells you, go one step at a time. If that doesn't click, try another way. Keep to what the passage and reference say. Then ask me to explain it back in my own words.

Quiz me

Use it when you want to find out what you remember.

Quiz me on this unit, one question at a time. Mix quick facts I must know cold, like fingerprint pattern types or chain-of-custody steps, with why-and-how questions, like why a result can be inconclusive. Now and then, add a question from a unit I've finished: [names of units I've finished]. After each answer, use the reference to tell me if my reasoning holds up.

Check my notes

Use it when you've written notes or a brain dump from memory and want to find the gaps.

Here are my study notes, written from memory: [paste them]. Compare them with the reference. Tell me what's missing, unclear, or might be wrong, such as a missing chain-of-custody step or an inference written as an observation, but don't rewrite my notes. Then ask me one question about the biggest gap.

Explain it back

Use it when you know the words but aren't sure how a forensic method works, or you want to predict a test result.

I'll explain how [a method from this unit, such as chromatography or fingerprint comparison] works, or predict what a test will show and why. Ask me what the method observes, what we interpret from it, and where its limits are. Let me explain first, then ask me a question about one weak spot, without giving me the answer. Don't rewrite my explanation for me.

Work through data

Use it when you're practicing with a scene sketch, comparison table, or angle calculation.

Coach me through this data: [paste the table or problem]. Let me pick a method and try it before you give a hint. Keep the units clear, and for a spatter angle, use the width-to-length ratio with inverse sine in this simplified model. Keep made-up practice data separate from real case data. Then give me one new made-up practice set, and hide the answer until I try it.

Check my answer

Use it when you want feedback on a practice answer.

Here is my practice answer: [paste it]. Check it against these rubric criteria: [paste the relevant rows from the rubric table on my unit page]. Go through each criterion and tell me which ones it doesn't cover yet, or say that it covers them all. Allow for evidence that excludes, is consistent, or is inconclusive, and never invent a fingerprint match percentage. Don't give it a rubric level or score, and don't invent problems if it's correct.

History connection

Use it when you're working on the unit's history, reading, and writing piece.

Help me with this unit's history connection: [paste the history assignment from my unit page and the passage I'm reading]. It may involve an early forensic case or method. One step at a time, ask me for the science idea, the evidence in the source, my analysis, a counterargument, and a limitation. Help me explain what a random-match probability means, which assumptions it rests on, and that the court, not the scientist, decides guilt. Check my outline and citations, but don't write my response or invent sources.

Rehearse my defense

Use it when you're getting ready to explain your work to your instructor in person.

Help me rehearse my [evidence-analysis defense, timed scene processing, or oral lab-notebook defense] using these demonstration criteria: [paste the relevant rows from the demonstration rubric]. Ask me one question I haven't practiced at a time, based on those criteria. Use only made-up materials and the instructor-approved procedure, never real personal or case records. At the end, go through each criterion and tell me which ones my answers didn't cover yet. Don't give me a rubric level or a pass; only my instructor can judge my hands-on skill.

Step 3: Explain it yourself

Put the AI's answer aside and explain the idea in your own words. Getting something wrong is part of learning, not cheating. Your instructor assesses your work with the real rubric, so double-check anything important the AI told you.

Checking the machine

Check AI responses. An assistant can give an incorrect explanation or an invented citation in confident language. Ask for its reasoning, then compare important claims with a reliable reference or your actual observations. A confident tone is not evidence of accuracy.

So treat every AI claim as a hypothesis, not a verdict. When the machine gives you a conclusion, do three things: redo the arithmetic yourself, check that the evidence actually supports the claim, and never — ever — treat an AI conclusion about a case as fact without checking it against the evidence in front of you.

A student who leaves this course able to catch the machine has learned something more durable than any single unit of forensic science: how to think clearly in a world full of fluent, fast, confident voices that are sometimes simply wrong. That’s AI literacy. And it’s why we teach the tool instead of banning it.