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Subject-by-subject AI reliability lesson planner
Name two or more subjects. Get lessons that show where AI is reliable and where it distorts, subject by subject.
Subject-by-subject AI reliability lesson planner is a free AI skill for the job "Teach and train people". Give the instructions to an AI assistant that supports the required files and tools, then review its output.
Free · No account · CC BY SA 4.0 licence · Made by Gareth Manning · Level: advanced · Thinking: high
Made by Gareth Manning. See the original on GitHub; we copied it as it is, with its licence.
What it does
A lesson sequence that shows students where AI answers can be trusted and where they bend the truth, one school subject at a time. A chatbot may do well on a biology process and badly on a historical judgement. Students find out why. You name two or three subjects and a year group. The plan first describes how each subject builds knowledge and what counts as evidence there. Then it writes the same type of question in each subject's own terms, such as a cause question. Students run all of them through AI and compare. A protocol says what to record. A reliability framework and discussion guide help them draw conclusions.
You give it
- Two or three subjects to compare
- Year group
- The question type to use, such as cause or how it works (optional)
- Time available (optional)
You get
- A note on how each subject builds knowledge
- Matching questions for each subject
- A comparison and recording protocol
- A reliability framework and discussion guide
Use it when
- You want students to see that AI is not equally reliable in every subject.
- You are planning cross-subject AI literacy work.
- Students think one AI check works for everything.
- You need a lesson that compares AI in history and science, for example.
How to use it
- Add it to your AI once: download it and add the folder to Claude, ChatGPT or Codex as a skill.
- Ask for the job in your own words. Your AI opens the skill when it fits.