AEGT AI Edtech Governance Trust Independent research trust · New Zealand

Public Team Surface

Named researchers, affiliated roles, and visible works

A factual public record of current people, institutional roles, and associated research outputs.

This page is intentionally conservative: it records the currently public team surface, highlights areas of research responsibility, and leaves room for future affiliated researchers and institutional contributors without inventing personnel that have not been announced.

Institutional Position

An independent research trust building governance structures around AI knowledge systems.

AI Edtech Governance Trust is a New Zealand-registered independent research trust. We exist to address a structural gap in the governance of AI systems that exercise epistemic authority across education, health, and public life.

We are not a technology vendor and do not build AI products. The people shown here are part of a trust whose work is to build formal foundations, governance frameworks, and institutional mechanisms that make AI knowledge systems inspectable, domain-scoped, and publicly accountable.

Current Membership

Current named membership with open capacity for affiliated expansion.

FOUNDING RESEARCHER

Chao Li

CURRENT

Lead contact for trust development, formal theory, governance framing, and institutional outreach.

  • Focus: epistemic authority, structural transparency, and domain-scoped AI knowledge representation.
  • Role in programme: connects theory, diagnosis, and intervention layers into a single governance agenda.
  • Contact route: lichao@deepleap.ai through the trust contact channel.
AFFILIATED ROLE

Institutional Co-investigators

OPEN

Reserved for university, policy, and teacher-education collaborators working on empirical validation or pilot design.

  • Potential contributions: comparative governance, dataset access, institutional pilots, and policy translation.
  • Use case: affiliated researcher status or formal collaboration through partner institutions.
AFFILIATED ROLE

Research Contributors

OPEN

Reserved for contributors supporting report development, literature synthesis, scenario design, and public programme documentation.

  • Suitable for: policy analysts, education researchers, pilot coordinators, and interdisciplinary collaborators.
  • Entry path: join through the research agenda and collaboration process.

Affiliation Pathways

Affiliation routes for institutional and research collaboration.

Universities

Affiliated researchers

Suitable for theory refinement, empirical validation, comparative governance work, and joint research proposals.

Teacher Education

Pilot collaborators

Suitable for institutions exploring panoramic decision simulation, teacher formation, and applied judgment training.

Policy Bodies

Strategic partners

Suitable for policy institutes and multilateral organisations engaging the governance question around AI epistemic authority.

Associated Works

Works currently associated with the Trust's visible research leadership.

Governance

How Should AI Knowledge Be Governed?

Sets out the trust's public argument that epistemic authority in AI requires structural accountability and inspectable interfaces.

Review publication record
Diagnosis

Three Cognitive Maps

Frames the mismatch between knowledge, skills, and situated judgment as missing cognitive infrastructure rather than isolated curriculum failure.

Review publication record
Intervention

Panoramic Decision Simulation

Connects teacher training to a more formal treatment of judgment formation and institutional pilot design.

Review research agenda
Formal Theory

CDC Domain Algebra

Provides the theoretical substrate for domain-constrained reasoning and domain-scoped representation used across the programme.

Review publication record

Listing Policy

Factual principles for the public team surface

Only publicly confirmed people, clearly open roles, and already articulated programme outputs are listed. This avoids turning the team page into speculative filler before institutional relationships are formally announced.

NOW

Current state

The public team surface centers on the founding researcher and on open collaboration structures around the trust's programme.

LATER

Future expansion

As more members are confirmed, the page can add biographies, institutional affiliations, portraits, external profiles, and per-member output listings.