The Alignment Problem
Making powerful systems reliably serve human intentions is a technical and political challenge.
The Mechanism: AI alignment research studies how to make systems behave in accordance with intended goals and constraints. The challenge includes specification, robustness, oversight, and behavior under conditions unlike those seen during development.
The Philosophical Pivot: There is no single human value function waiting to be copied into a machine. Communities disagree about fairness, privacy, risk, and authority, so alignment always raises the question of whose values receive priority.
The Horizon: More capable systems could amplify errors in objectives as well as successes. Technical safeguards matter, but so do governance, public participation, limits on deployment, and the ability to revise decisions.
Calling a system aligned can hide disagreement about what it is aligned to. The label should invite inspection of beneficiaries, harms, and the institutions setting the goals.
The future is not a machine discovering humanity's values; it is people negotiating how power should be constrained when machines can act at scale.
A system cannot serve humanity until someone answers which humans, and on whose terms.
Whose values would I authorize a powerful system to enforce when people disagree about what is good?