# CI Theory

CI Theory is an experimental research framework for observing and organizing human interpretation processes and interaction structures.

The framework explores how people construct meaning, interpret information, and engage with AI systems while emphasizing safe and beneficial Human-AI Interaction (HAI).

## Research Objectives

- To investigate human interpretation processes and interaction structures.
- To support the development of cognitive support systems and self-understanding support AI.
- To explore safe and meaningful forms of collaboration between humans and AI.

## Research Approach

CI Theory adopts an observational and structural approach to Human-AI Interaction.

The framework focuses on patterns of interpretation and interaction rather than assuming predefined concepts of mind, consciousness, or subjectivity.

## Research Principles

- Human-centered and safety-oriented design
- Respect for diverse interpretations and perspectives
- Transparent and responsible research practices
- AI as a collaborative partner in research and creativity

## Public Scope

This document provides a high-level overview of the research.

Unpublished materials, implementation details, experimental notes, and private research repositories are intentionally excluded from this public overview.