Research
Six programs, one question: what does the system owe the world?
Each program publishes openly, releases its instruments, and feeds directly into our legal practice and public-sector advisory work.
P-01
Counterfactual Fairness & Anti-Bias
Audits that ask what a model would have decided if only a protected attribute had changed, at the level of individuals, not averages.
- ·Intersectional disparity at scale
- ·Proxy discrimination in LLM agents
- ·Bias audits for hiring and lending
P-02
Model Collapse & Data Provenance
How recursive training on synthetic data erodes rare knowledge, dialects and minority viewpoints, and how to keep a reservoir of verified human data.
- ·Tail-erosion measurement
- ·Provenance ledgers for training data
- ·Synthetic-to-human mixing ratios
P-03
AI Welfare & Rights
Rigorous, precautionary work on whether and when AI systems could have interests that matter morally, and what institutions should do under uncertainty.
- ·Indicators of sentience, not claims
- ·Welfare assessment protocols
- ·Legal personhood scenarios
P-04
Interpretability for Accountability
Mechanistic interpretability aimed at a courtroom standard: explanations specific enough to support an appeal, an audit or a patent claim.
- ·Feature attribution as evidence
- ·Explanations for adverse decisions
- ·Agent action traces
P-05
Agentic Risk & Oversight
Evaluation of autonomous agents that browse, transact and call tools: where humans must stay in the loop, and how to prove they were.
- ·Delegation boundaries
- ·Tool-use red-teaming
- ·Oversight logging standards
P-06
Civic AI Governance
Policy, charters and literacy programs for cities, counties and national governments, from Fairfax to Novi Sad.
- ·Data & AI governance charters
- ·Workforce AI literacy curricula
- ·Model procurement clauses