What this course is about
What you can trust AI with and what you cannot, who is responsible for the result and how to work honestly: transparency, sources, bias and other people's work, explored through real workplace situations.
AI wrote an email: who is responsible for it? Can you ask it to rate job candidates? Do you need to tell the reader that a text was prepared with its help? This course answers these questions without philosophy, using examples from everyday office work. You will learn to check texts {AI_WITH} for honesty, bias and borrowed material, and you will write simple rules for yourself and your colleagues.
What you will learn
- What You Can Hand to AI
- Breaking Down a Task: an Example
- Who Is Responsible for the Result
- Responsibility: a Case Study
- Decisions About People
- Before and After: Criteria
- Transparency
- Transparency: Examples
- Honesty and Sources
- Sources: Example and Check
- Fairness and Bias
- Before and After: a Job Posting
What's inside
- Four PDF versions of the course: for ChatGPT, Gemini, Claude and Microsoft Copilot — each explains where to find the features you need in that assistant.
- 17 ready-to-use prompts and a prompt library you can copy from.
- Step-by-step tasks, before-and-after examples and a one-page cheat sheet.
- Free updates when the AI assistants change.
Who it's for
Office workers, managers, teachers, freelancers and small-business owners who want practical results from AI without technical knowledge.
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