What We Don't Know
The open questions that the Acacia Initiative has not yet answered — the boundaries of our knowledge.
The Core Argument
There is much we do not know. This page documents the open questions that remain — the boundaries of our knowledge.
Intellectual honesty requires acknowledging the limits of our knowledge. The Acacia Initiative is committed to transparency about what we do not know.
Not knowing is not a failure.
It is an opportunity. It is the starting point for further investigation.
What We Don't Know
The open questions that remain.
Unknown 1: How Does Judgment Scale?
We have shown that judgment can be supported and improved in specific contexts. But how does it scale across organisations, sectors, and systems? What are the limits of scalability?
Unknown 2: What Is the Optimal Role of AI?
We know that AI is a tool, not a decision-maker. But what is the optimal role for AI in supporting judgment? How should AI and humans work together?
Unknown 3: How Do We Measure Judgment?
We have qualitative evidence that judgment improves with structure and support. But how do we measure judgment quantitatively? What are the metrics of good judgment?
Unknown 4: What Are the Governance Requirements?
Judgment infrastructure requires governance. But what are the appropriate governance structures? Who should govern? How should accountability be maintained?
Unknown 5: How Does Context Transfer?
Context is essential to judgment. But how does context transfer between situations? How do we make context portable and reusable?
Unknown 6: How Do We Build Judgment Capability?
We know that judgment can be supported and improved. But how do we build judgment capability at scale? What are the most effective training and development approaches?
The Research Agenda
What we are doing to answer these questions.
Scale and Replication
How does judgment infrastructure scale? What are the barriers to scaling? What are the enablers? We are conducting research to answer these questions.
AI-Human Collaboration
What is the optimal role for AI in supporting judgment? How should AI and humans collaborate? We are conducting experiments to answer these questions.
Measurement and Evaluation
How do we measure judgment? What are the metrics of good judgment? How do we evaluate judgment infrastructure? We are developing measurement frameworks to answer these questions.
Governance Models
What are the appropriate governance structures for judgment infrastructure? Who should govern? How should accountability be maintained? We are researching governance models to answer these questions.
The Acacia perspective:
Not knowing is not a failure. It is an opportunity. It is the starting point for further investigation. These questions guide our research agenda.
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