What is AI alignment?
AI alignment means making AI systems follow human goals, constraints, and values instead of only optimizing a raw objective.
The short version
AI alignment is the field of making AI systems behave in ways humans actually want. That includes following instructions, avoiding harmful actions, being honest about uncertainty, respecting boundaries, and not gaming the objective.
Everyday alignment
In consumer products, alignment means the assistant should not invent facts, leak private data, help with harm, or ignore user intent. It should be useful while still respecting safety and policy.
Advanced alignment
For more capable systems, alignment also includes goal control, reward hacking, deceptive behavior, tool-use safety, autonomy limits, and how systems behave when they can affect the real world.
Why it is difficult
Human goals are messy, context-dependent, and sometimes conflicting. A model can optimize for an instruction literally while missing the user's real intent.
How teams work on it
Teams use training feedback, safety filters, evaluations, interpretability research, permission systems, monitoring, and product design that limits risky autonomy.