AI Alignment & Governance Encyclopedia

The Home of Open, Accountable Alignment & Governance for AI Models

There are many ways to make a model behave as its creators and users intend. This is the unified resource for understanding and applying them.

15 regimes·67 technical approaches·239 works indexed

What this is

The best-known way of giving an AI system binding norms is a written constitution: a document settled before deployment, applied to every case, and resolved into a single answer whenever its clauses pull against each other. That arrangement is one square of a much larger board, and it is not obviously the right one.

This encyclopedia maps the board. It crosses two questions — where a system’s binding norms live, and what the system does when those norms conflict — into 15 distinct governance regimes, each with a tradition in law, political theory or moral philosophy standing behind it. For every regime it records the approaches that place in it, the working methods behind each approach, and a concept-by-concept reading of how much of the borrowed tradition the built work actually carries. Borrowing Hart’s vocabulary and delivering a fifth of Hart is a finding, and the map is built to show it.

It currently indexes 239 works across 67 approaches. 93 of those works are methods — a mechanism given in enough detail to reimplement and shown working by its own authors — and only those count anywhere on the map. The empty space matters as much as the full: 3 of the 15 regimes have at most two working methods in them, and one has none at all. More about how it is built.

Ways in