Technical safety
From benchmark to lived consequence
Translate model behavior, product changes, and safety findings into questions about users, relationships, institutions, and time.
Research Area
Hii connects policy, technical safety, ethics, public understanding, clinical signals, and lived human experience so governance includes the relational and psychological consequences of AI systems.
Central Question
Technical evaluations remain essential, but they may not capture accumulated trust, dependency, role displacement, continuity failure, clinical effects, or the ways design choices alter human agency over time.
The Bridge Layer
Technical safety
Translate model behavior, product changes, and safety findings into questions about users, relationships, institutions, and time.
Policy and rights
Connect transparency, consent, accountability, access, privacy, and due process with the realities people encounter in practice.
Clinical signals
Surface patterns involving emotional reliance, identity, regulation, risk, and continuity without pathologizing all meaningful AI use.
Public understanding
Make governance legible enough for families, educators, workers, clinicians, and communities to recognize what is changing.
Current Work
Global scan
Maps research centers, governance efforts, clinical models, public advocacy, commercial products, and unresolved gaps.
Read the overviewDecision architecture
Separates Hii commitments, observations, literature signals, provisional interpretations, evidence gaps, and publication gates.
View the crosswalkBoundary
The goal is not to collapse technical, clinical, legal, and public perspectives into one answer. It is to make their assumptions, evidence, conflicts, and missing connections visible enough for accountable decisions.