AI 101

Alignment

Also known as: AI alignment

Basics

Alignment is the effort to make a model’s behavior match what humans intend and value — not just what’s statistically likely.

It covers:

  • Harmlessness — not producing dangerous or abusive content.
  • Helpfulness — actually doing what was asked.
  • Honesty — admitting uncertainty rather than fabricating.

RLHF and other techniques are the main tools. It’s as much a research field as an engineering one.

Why beginners should care: alignment is the reason modern assistants say "I'm not sure" and refuse some requests. It's the layer that makes raw prediction feel safe to use.