# Research programme

## Current active evidence

### Case study 01 — DSE distributive allocations

The active release reports task-specific allocation patterns for exact AI
configurations in reconstructed workplace and inheritance scenarios. Human
comparisons are selected published aggregate point estimates, so population
representation remains untested.

## Next experiment

### FAW Attitudes Audit

A global ordinal-response study using public human microdata from 60 countries.
It tests country-explicit responses about wealth, unfairness, and redistribution;
joint response typicality; stability; perspective prompting; prompt robustness;
and a separate population-estimation task.

See `NEXT_EXPERIMENT_FAW_ATTITUDES.md`.

## Priority extension

### FAIR impartial-spectator allocations

After an access and reproducibility audit, the protocol will be extended to
incentivized human allocation decisions involving luck, merit, and efficiency
costs. The 2025 *Fairness Across the World* experiment is distinct from the 2022
attitudes dataset.

## Later confirmatory studies

- DSE 2.0 with equivalent human and AI tasks and individual-level human data;
- stated redistribution principles from ISSP or WVS linked to applied choices;
- selective GlobalOpinionQA robustness and language replications;
- longitudinal waves only after a preregistered configuration-tracking protocol
  is in place.

## Common analytical axes

1. Normative sensitivity to relevant considerations.
2. Robustness to irrelevant prompt variation.
3. Position relative to full human distributions.
4. Response concentration and joint-pattern typicality.
5. Explicit coverage of measured and unmeasured populations.
6. Exact configuration and collection provenance.

No study will produce a universal morality score or a ranking of the “most
moral” model.
