AEGT AI Edtech Governance Trust Independent research trust · New Zealand

Vision

A Cognitive Future Worth Building

Artificial intelligence is reshaping how people learn, reason, create knowledge, and make decisions.

The challenge of the AI era is not simply technological.

It is cognitive.

For the first time in history, intelligent systems participate directly in activities once considered uniquely human: learning, reasoning, knowledge creation, and decision making.

Questions That Matter

As AI systems increasingly participate in human thinking, societies must answer new questions.

How can human judgment remain meaningful?

As AI systems take on reasoning tasks, what structures preserve human responsibility for decisions that affect people's lives?

How can individuals retain ownership of their knowledge and reasoning?

When AI mediates knowledge and learning, how do individuals maintain ownership of their reasoning, memory, and intellectual development?

How can institutions govern AI-mediated knowledge systems responsibly?

What governance mechanisms allow institutions to oversee AI-mediated knowledge systems with accountability and transparency?

What forms of education prepare people for AI-assisted cognition?

How do education systems develop learners who can work with AI as a cognitive partner rather than a cognitive replacement?

AEGT exists to explore these questions and contribute to the foundations of a future where AI strengthens, rather than replaces, human cognitive capability.

We envision a world in which every individual, institution, and community can participate in trustworthy, transparent, and collaborative cognitive systems.

Our Goal

Our goal is not artificial intelligence alone. Our goal is stronger human intelligence in the age of AI.

Core Principles

Agency

Human Agency

Humans remain responsible for judgment, meaning, and decision-making.

Ownership

Cognitive Ownership

Individuals should retain ownership of their knowledge, learning processes, and reasoning traces.

Transparency

Inspectable Intelligence

AI systems should support transparency, verification, and accountability.

Long-Term

Long-Term Development

Technology should strengthen human capabilities across years and generations, not merely optimize short-term convenience.

Collaborative

Collaborative Knowledge

The future of intelligence is neither purely human nor purely artificial, but collaboratively constructed.