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Applied AI research lab

Building trustworthy AI for public safety.

Public Safety AI Lab develops the science of governing, verifying, and securing AI — from evaluation to accountable deployment — in settings where a mistake is a wrongful outcome, not a bad recommendation.

Explore our researchFour research programs

Public safety is the hardest test of AI. Here a failure is not a bad recommendation — it can be a wrongful outcome, a due-process violation, an infringement of civil liberties. PSAIL builds the evaluation, governance, and assurance methods that can survive that scrutiny.

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Research programs

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National AI project

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Synthetic personas

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Papers in review or accepted

Research Programs

Four programs, one mandate.

PSAIL organizes its work around research programs — not papers. Every publication, patent, and project connects back to one of these four.

All programs→
01

AI Governance

Institutional methods for deploying AI under due process, accountability, and procedural justice.

Procedural JusticeAccountabilityResponsible AIPolicy
02

AI Assurance

Verification, security, and evidence pipelines that make an AI decision auditable, traceable, and defensible.

VerificationProvenanceSecurityEvidence
03

AI Evaluation

Rigorous, domain-grounded benchmarks that measure whether AI systems are reliable enough for public safety.

PoliceBenchLLM-as-JudgeBenchmarkingReliability
04

AI Systems

Agentic systems and simulation environments that turn research into deployable public-safety workflows.

Agent SystemsSimulationWorkflowDeployment
Signature Feature

The Research Map.

Every research asset is a node in one connected graph. Trace a policy outcome back through the project, the patent, the paper, and the program that produced it — the full provenance of an idea.

ProgramPaperPatentProjectDataset & CodePolicy Impact
Explore the map→
PROGRAMAI GovernancePAPERProcedural Justice as DesignPATENTControl-Layer MethodPROJECTPublic Safety AIDATASETGovernance ToolkitIMPACTInstitutional Adoption
Selected Work

Research that ships.

From benchmarks to deployed systems — our projects turn evaluation science into tools institutions can actually use.

All projects→

PoliceBench

Research

AI Evaluation

An evaluation benchmark for language models on real policing tasks — task corpora, difficulty grading, and human-expert baselines for measuring where models are, and are not, reliable enough to assist.

GABM

Active

AI Systems

A simulation platform that populates policy scenarios with LLM-driven synthetic personas — built on a million-scale Korean population — to stress-test interventions before they reach the public. Applied to fraud prevention, disinformation response, and more.

1MKorean synthetic personas

Public Safety AI

Research

AI Governance

A governance framework for adopting AI inside public-safety institutions — third-party verification of capability and procedural-justice controls that map oversight, accountability, and redress into concrete operating rules.

Economic Security AI

Research

AI Governance

An emerging line of work applying AI to economic security — detecting and analyzing industrial technology leakage and related security threats. Led with PSAIL's co-director.

Newsroom

What's new.

Releases, publications, talks, and milestones from the lab.

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Collaborate

Work on trustworthy AI.

We work with researchers, engineers, and public institutions who take reliability seriously. There is real work to do.

Work with us→Get in touch