MEPX
Chapter 10 of 12All chapters
  1. 1What AI means
  2. 2How machine learning works
  3. 3Training data
  4. 4Kinds of learning
  5. 5Neural networks
  6. 6Large language models
  7. 7Limits and hallucination
  8. 8Bias and fairness
  9. 9Using AI well
  10. 10Privacy and safety
  11. 11Beyond text
  12. 12AI and work

Chapter 10 of 12

Privacy and safety

What happens to what you type.

Data handling

Whether your input is stored or used for training depends entirely on the product and its settings. Assume anything typed into a consumer service could be seen by someone unless the terms say otherwise.

  • Do not paste secrets, credentials or other people's personal data into a chat box.
  • Business tiers usually carry stricter commitments than free ones.

Prompt injection

A model reading a web page or a document will treat instructions inside it as text worth following. Anything that acts on untrusted content needs a boundary between data and commands.