GEACG™: A Pan-Global Ethical AI Compliance Blueprint for 2025 and Beyond (Limited Edition)

The Global Ethical AI Compliance Grid (GEACG™) represents the next major milestone in the evolving BTG AEGIS AI™ research ecosystem. Building upon my previous publications hosted on Zenodo and indexed through OpenAIRE, this work offers a unified alignment model that harmonizes the world’s leading AI ethical and regulatory standards into one interoperable compliance framework.

This publication extends the foundational work established in earlier papers:

BTG AEGIS AI™: Ethical AI-as-a-Service Framework for Global Governance

https://doi.org/10.5281/zenodo.17459356

BTG AEGIS AI™ Prototype – India’s Ethical AI Revolution

https://doi.org/10.5281/zenodo.17505830

Certified BTG AEGIS AI™ Crash Course (2025 Edition)

https://doi.org/10.5281/zenodo.17523924

Ethical AI Readiness & Global Governance Framework (Part III)

https://doi.org/10.5281/zenodo.17592167

EAMI™ — Ethical AI Maturity Index (Limited Public Version v1.0)

https://doi.org/10.5281/zenodo.17630331

These publications have collectively gained significant international engagement, positioning BTG AEGIS AI™ as one of the fastest-growing independent Ethical AI research movements with a rapidly expanding global readership.

GEACG™ advances this ecosystem by mapping and aligning the most influential global AI governance frameworks—including the EU AI Act, IndiaAI Mission, OECD AI Principles, UNESCO Recommendation on the Ethics of AI, and the NIST AI Risk Management Framework—into 12 Universal Compliance Pillars. The goal is to create a neutral, interoperable governance structure enabling nations, institutions, and enterprises to evaluate, benchmark, and operationalize Ethical AI consistently across borders.

The GEACG™ meta-framework introduces:

A unified cross-jurisdictional compliance architecture

A structured governance blueprint integrating global ethical principles

A practical, operational model for developers, auditors, and policymakers

An independent alignment grid created outside political or corporate influence

This work, together with the earlier BTG AEGIS AI™ publications, contributes to a growing global standardization initiative for responsible, transparent, and human-centered AI.

⭐ Disclaimer :

The frameworks, interpretations, and models presented in this publication are independent research contributions authored by Santosh Sunar. This work is not affiliated with, endorsed by, or representative of any government entity, regulatory authority, or international organization. The alignment of global AI frameworks is conceptual and intended exclusively for academic, educational, and thought-leadership purposes.

This publication does not constitute legal, regulatory, or compliance advice. Users and organizations must conduct their own due diligence and consult qualified professionals before implementing any recommendations.