Coactualization
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TECHNOLOGY. PEOPLE. A BETTER LIFE.

AI is getting more powerful.
Will our lives get better?

Coactualization asks how AI, schools, and government could help us learn, live well, and take charge of our lives. The proposal: test what helps, improve what fails, and protect our freedom to choose.

A proposal in development. Open to questions and criticism.

WHY IT MATTERS

What is all this progress for?

An app can keep you watching without making your life better. An AI tool can finish a task without helping you understand it. Saving time matters. So does having the ability to think, choose, and act for yourself.

Powerful technology could help us learn, create, and connect. It could also leave us more dependent on systems we cannot question. The goals we set and the rules we build will shape what happens.

Coactualization is a proposal to use AI and evidence to build schools, technology, and government that help people live better, develop their abilities, and shape their own future.

A teacher helps a student gain confidence. That student can go on to build, care, discover, or teach. People and society help each other grow. Coactualism is the philosophy behind that goal.

A good life includes health, security, relationships, learning, purpose, and room to choose your own path.

IN EVERYDAY LIFE

What could this change?

These examples illustrate the proposal. They describe possibilities to test, rather than completed Coactualist programs.

A tutor that builds understanding

Imagine an AI tutor that offers hints, explains its advice, and helps you solve the next problem yourself. We would ask whether you keep and can use what you learn.

Explore learning with AI

A school that develops strengths

Imagine schools with time, support, and varied opportunities to help students discover their abilities. A low score would be a reason to offer help, never a verdict on someone’s future.

Explore a fuller education

Public programs that keep improving

Imagine a service that tests a better approach, publishes what it learns, and changes when the evidence holds up. Leaders would need to explain a decision to keep a worse system.

Explore the duty to improve

HOW IT WOULD WORK

Learn what helps. Make institutions act on it.

When strong evidence shows that a better approach improves people’s lives, public institutions should have a duty to change—or give a defensible public reason for not changing.

  1. 01

    Find better approaches.

    Bring together research, real-world results, and the experiences of people affected. AI could help compare the evidence, including failures and conflicting findings. People would still need to check it.

  2. 02

    Put them to the test.

    Try promising changes on a limited scale where appropriate. Compare benefits, harms, costs, and who is being left out. A pattern in the data is a starting point for investigating cause and effect.

  3. 03

    Improve what we do.

    Give institutions the people and resources to adopt better approaches when the case is strong enough. Respect rights, local circumstances, and reasonable limits. Make decisions open to challenge.

  4. 04

    Keep checking.

    Publish what was learned in a form people can understand. Seek independent review. Change course when results disappoint or new evidence shows a better way.

Follow one example: an AI tutor in a school

Before a trial, students, families, and teachers would help identify the goals and concerns. The school would explain what information the tool collects, how it is protected, and what choices students have about taking part.

Researchers could compare teaching with and without the tutor, using a fair design. They would check what students remember and can do independently, alongside stress, access, teacher workload, privacy, and cost.

If benefits hold up under independent scrutiny, the school should improve its approach. If the tool harms learning or fails to help, it should be changed or discontinued. This is an illustration of the method, with no claimed results.

The duty falls on institutions. People retain the freedom to choose their own lives. The full theory examines how this duty could work; its precise legal enforcement remains an open design question.

Read the argument for a duty to improve

FREEDOM AND ACCOUNTABILITY

Who decides—and how can you challenge them?

A better score cannot justify taking away people’s rights. The purpose is to expand our ability to direct our lives. The proposal must be judged by whether its protections can work in practice.

People have a voice.

Evidence helps us understand consequences. People still need to debate goals and tradeoffs. Different ambitions, beliefs, and ways of living must have room to exist.

Power can be challenged.

Important decisions need clear reasons, independent scrutiny, and a real way to appeal. People must be free to disagree with the project and those in charge.

Protect private lives.

Personal AI mentoring would need meaningful consent and a choice to decline. Private learning records must be kept separate from evidence used for public decisions.

These are requirements for the proposed institutions. Their legal and practical design still needs work. Measuring how well an institution serves people must never become a single score of a person’s worth.

Examine the objections and unresolved questions

TAKE THE NEXT STEP

Start with the question that interests you.

You can explore an example, challenge an assumption, or read the full argument. The names come after the ideas they describe.

The idea in 30 seconds

AI can do more for us. But will it help us live better and think for ourselves? Coactualization proposes using AI and research to build schools, technology, and government around human development. Think of a tutor that builds your understanding, or public programs required to improve when better approaches are demonstrated. The goal is healthier, more capable people, with privacy, a voice in decisions, and freedom to choose their own path.

Ask a question whenever you want to understand more. You do not need to read a chapter first.

GO DEEPER · 29 CHAPTERS, EIGHT PARTS

Explore the full theory.

The complete argument, precise terminology, and connections remain here. Open any part to choose a chapter.

PART 01Why this matters
PART 02Learning what helps
PART 03Better places to live
PART 04Developing our abilities
PART 05Economic life and public power
PART 06Evidence we can question
PART 07AI that supports people
PART 08The deeper philosophy

FOLLOW YOUR CURIOSITY

Understand. Question. Go further.