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Text coursebeginner33 min4 chaptersEnglish

AI at Work: Data, Privacy and Policy

A written course in four chapters on using AI at work without creating a data problem. What actually happens to what you paste, a classification people will follow, a one-page policy that gets read, and who carries responsibility when the output is wrong.

Instructor: HIMEXA Editorial

What you'll learn

  • Explain where your text goes and what 'we do not train on your data' does and does not cover
  • Sort information into tiers and redact quickly enough to actually do it
  • Write a one-page AI policy your team will follow
  • Set review depth in proportion to consequence
  • Handle a wrong output that reached a customer without making it worse

Chapters

Read in order, or jump to the chapter you need. Nothing is locked — this course is free to read.

  1. What Actually Happens to What You Paste9 min readWhere your text goes, who can see it, what 'we don't train on your data' does and does not cover, and which risks are real versus imagined.
  2. A Classification You Will Actually Use8 min readBlanket bans get ignored and blanket permission gets people fired. Four tiers, a redaction habit, and a decision you can make in three seconds.
  3. Writing a Policy People Follow8 min readMost AI policies are long, defensive and ignored. What a one-page version contains, and why permission matters more than prohibition.
  4. Who Is Responsible When It Is Wrong8 min readAccountability does not move to the tool. How to set review proportionate to consequence, and what to do when something wrong gets out.

Requirements

  • No technical background needed
  • You use AI tools at work, or you are deciding whether your team should