Alignmentso

Alignmentso is a term used in discussions of artificial intelligence alignment. It does not denote a single, formal method; rather, it is a flexible label applied to a family of ideas about how to make AI systems behave in accord with human values. Because there is no universal definition, the term appears with varying emphasis across sources.

Common interpretations describe alignmentso as a modular safety architecture that couples explicit value specification with independent oversight mechanisms. Proponents argue for separating decision-making from verification, using components such as value-commitment modules, external evaluators, and override or red-teaming facilities.

Practically, alignmentso discussions often stress human-in-the-loop evaluation, uncertainty handling, corrigibility, and ongoing alignment refinement as capabilities evolve. It is used in debates about whether alignment can be achieved by design-time specification alone or requires runtime monitoring and governance.

Critics caution that the term is ill-defined and risks conflating unrelated ideas, potentially hindering clear communication in safety research.

In the literature, alignmentso appears mainly in informal writings, online forums, and speculative safety architectures rather than peer-reviewed publications.