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What AI is (and what it is not)

Day 1 of 5 · AI Catch-Up Program (EN): Beginner Course

Tool, not magic

Learning goal

  • See AI as a tool that needs clear input and QA.
  • Spot risky use cases.
  • Draft your AI use map.

Why it matters

  • AI doesn’t know your intent; it reads text only.
  • You own decisions and QA; AI does not accept liability.
  • Good input → better output; iteration is normal.

Explanation

  • AI suggests; you review.
  • No company context unless you provide it.
  • Guardrails: anonymize sensitive data; avoid critical decisions without human review.

Where it helps / where it doesn’t

  • Helps: outlines, summaries, ideas, first drafts.
  • Does not replace: legal/medical advice, password handling, confidential data processing.

Guided exercise (10–15 min) — AI use map

  1. List 3 tasks to accelerate with AI.
  2. For each: what you expect, what risk you see.
  3. Note if sensitive data appears; plan to anonymize.

Independent exercise (5–10 min) — Do-not-use list

List 5 tasks you won’t give to AI (passwords, critical decisions, sensitive clients) and what you’ll do instead (human review, manual step).

Self-check

  • AI use map written.
  • Do-not-use list created.
  • You can explain why QA is mandatory.

Optional deepening