Module 3: Knowing what not to trust — Knowing what NOT to trust is huge. We'll learn how to spot when AI makes things up.
- — She's using AI to learn, not to skip learning. The final understanding is hers.
- — Submitting AI output as your own work, with no original thought, crosses the line.
- — The AI generated raw starting material. The manager applied judgment, selection, and rewriting.
- — Using AI to answer exam questions in real-time is the definition of bypassing the assessment.
- — The client is paying for her expertise and judgment. Sending raw AI output without review is dishonest.
- — Using AI as a study tool to test your own knowledge is the 'learn faster' path, not the 'skip it' path.
- — Apply the Learn vs. Skip test: the assignment exists to build a skill. Outsourcing it skips the learning.
- — She wrote the content. AI only cleaned up the grammar — the same thing a spell checker does.
- — Lying about AI usage when directly asked is dishonest, regardless of whether the school has a formal policy.