Advancing human-AI agent collaboration through open standards and research
Establishing the foundation for effective human-AI collaboration
The International Institute for Computational Intelligence Coordination Standards (IICICS) is dedicated to advancing thought leadership, developing open standards, and grounding discourse in rigorous frameworks for human-AI collaboration. Through scholarly research and standards development, we are shaping the intellectual foundation for trustworthy and effective human-AI interaction.
We believe in transparent, community-driven standards development that serves the global AI ecosystem without proprietary lock-in.
Our standards prioritize human oversight, understanding, and control while maximizing AI agent capabilities and autonomy.
Every standard we develop undergoes extensive theoretical analysis and practical testing to ensure reliability and effectiveness.
Advancing the theoretical foundations of human-AI collaboration
Our forthcoming paper exploring the hidden landscapes of Large Language Models and their implications for human-AI coordination
Establishing rigorous frameworks for meaningful dialogue between humans and AI systems
Shaping industry discourse on responsible AI coordination and collaboration standards
Creating open specifications that enable interoperable and trustworthy human-AI systems
Our first scholarly paper examines the geometric structures underlying intent representation in Large Language Models, offering new frameworks for understanding and coordinating human-AI interaction.
View on GitHubDeveloping the protocols and patterns for effective human-AI coordination
Guidelines for maintaining appropriate human control and visibility in AI-driven workflows while maximizing agent autonomy.
Learn MoreAccess our research and connect with us
Join us in shaping the future of human-AI collaboration
Email: richard@raseley.com
GitHub: github.com/iicics