Decision Integrity
Formal policy checks, traceability constraints, and adversarial stress testing.
Research
The research program is structured to reduce narrative bias by making assumptions explicit, benchmarking the results and enforcing transparency for acknowledging and communicating limitations upfront.
Pillars
Each track feeds concrete artifacts into the transparency, corruption, and electoral workstreams.
Formal policy checks, traceability constraints, and adversarial stress testing.
Bound AI recommendation space to constitutional and rights-preserving constraints.
Model competitive dynamics and prevent concentration through incentive design.
Stronger proposals get the same tests and public comparison as weaker ones.
Method
No proposal advances without passing its related sequence.
Validation
The sequence limits narrative drift by forcing explicit assumptions, comparative baselines, and transparent reporting.
Each run can be replayed with fixed seeds and parameter versions.
Baseline and variant outputs are measured under the same scenario constraints.
Confidence intervals and known limitations are published with each result set.