Alignment
Also known as: AI alignment
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.