AI safety evaluations · a legal-alignment lens
“…developing frameworks to assess whether frontier AI systems behave consistently with constitutional norms, due process, and rule-of-law principles.”
What's safe is what's legal — and I built the standard (and OWL knowledge graph) that defines it.
Where this is going
- 110+ countries, tagged. In my current role at Clio I help build Vincent — which runs 50-state and multi-country legal surveys across a dataset of 110+ countries worldwide — tagging that law with SALI/FOLIO into a normalized map of which human values each country's laws actually encode.
- Extending to faith traditions. We're tagging Christian, Jewish, and Sharia texts in the same standard.
- A deterministic values layer. Toward a Venn diagram of shared vs. outlier human values — in a deterministic (not probabilistic) layer a model can reason over on CPUs, not GPUs — so it more efficiently follows human values as encoded in governmental values. German values differ from Texas values; SALI/FOLIO normalize them all in one knowledge graph.



