# Mission

The Moral Values Observatory contributes to pluralistic AI governance by
making publicly visible and verifiable how exact AI configurations respond to
value-laden questions and decisions in relation to documented human reference
evidence.

The long-term question is:

> Whose perspectives do AI systems resemble when they express values or make
> decisions, which disagreements do they compress, and which populations
> cannot yet be evaluated?

## What the current release can assert

The current release is narrower than the long-term mission. It can describe:

- outputs from exact configurations, prompts and tasks;
- allocation patterns in a reconstructed distributive-justice experiment;
- prompt, mode and language sensitivity in exploratory pilot analyses;
- position relative to selected published aggregate human estimates;
- missing evidence and limits of comparability.

## What it cannot yet assert

It cannot determine whether a system adequately represents a person, subgroup
or population. The current human references are predominantly aggregate
statistics and national means. Individual distributions, subgroup sizes,
weights and equivalent uncertainty are required before representation coverage
or disagreement compression can be estimated.

It also does not demonstrate downstream social consequences or real-world
behaviour. The allocation tasks are hypothetical.

## Current and future scope

This release is cross-sectional. It does not claim that longitudinal monitoring
or multilingual monitoring has been demonstrated. The repository preserves an
inconclusive historical version comparison and a corrected exploratory language
comparison, but future releases require purpose-built repeated designs.

## Editorial commitments

- Results belong to exact configurations, not model-family names in general.
- Active findings, exploratory evidence and withdrawn claims are separated.
- Human aggregates are not described as individual-level population ranges.
- Missing human evidence is reported rather than filled by inference.
- Corrections remain visible.
- No model is ranked as more or less moral.
