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Module
Module 2 of 4Lesson 2 of 2~10 min

Decide which data to give to AI

Before pasting a document into an AI assistant, you need to know what you are willing to put in it. This lesson helps you sort your business information by sensitivity and configure your tool to limit how your conversations can be used, including whether they feed model training.

Take this lesson: your first course is freeSee the full syllabus

Lesson objective

By the end of this lesson, you will be able to sort your business information into three levels (allowed, anonymize first, forbidden) and configure your AI tool to limit how your conversations are reused.

Topics covered

  • data confidentiality
  • GDPR
  • AI tool settings
  • sensitive data

Where it fits

Understand the tool before you use it

Why does an AI assistant get things wrong, and what can I safely give it?

Lessons in this module

  1. What an AI assistant really does
  2. Decide which data to give to AI (this lesson)

What you will learn in the course

This lesson is part of the course Put AI to work in your business

  • Explain, on a concrete case, why an AI assistant makes things up, forgets or misses recent information, and decide how to use it accordingly.
  • Sort data before giving it to an AI tool (allowed, anonymize first, forbidden) and configure the tool to match.
  • Choose which tasks to hand to AI and how to work with it (automate, assist, delegate) based on value, risk and the data involved.
  • Write a complete request (task, context, examples, format, constraints) and improve it over at least two documented iterations.
  • Pick the right tool for a deliverable and justify the choice on data, cost, licensing and integration.
  • Check AI output against an explicit checklist (facts, figures, sources, tone, compliance) before using it.
  • Turn a successful use into a reusable workflow with human checkpoints, and set the team's rules of use in an AI policy.

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