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This research aims to create a framework that effectively aligns AI technology with the UN Sustainable Development Goals.

June 21, 2026Open Access

Developing AI as a Transformative Global Catalyst Framework Aligned with UN SDG

Key Points

This research aims to create a framework that effectively aligns AI technology with the UN Sustainable Development Goals.
Proposes a mathematical equation to measure catalytic impact of AI on sustainability goals.
Focuses on the role of global governance in steering AI deployment safely.
Develops a scalable blueprint for institutions and policymakers for practical implementation.
Introduces a framework that bridges AI capabilities with practical UN SDG indicators.
Demonstrates how regulatory standards can enhance technological advancements while reducing risks.
Provides a non-proprietary reference architecture for global collaborations.

Abstract

Description This repository contains the comprehensive Research Proposal titled "Developing AI as a Transformative Global Catalyst Framework Aligned with UN SDG". Conducted from the perspective of an independent researcher, this study aims to address the critical research gap in aligning rapid Artificial Intelligence (AI) advancements with the United Nations Sustainable Development Goals (UN SDGs). Core Overview & Theoretical Innovation The rapid proliferation of autonomous systems presents both unprecedented opportunities and systemic risks to global sustainability. This work proposes a novel, scalable theoretical architecture to safely operationalize AI technologies for socio-economic and environmental progress. The cornerstone of this framework is the strategic mathematical equation: C = G × I² Where: C (Catalytic Impact): The measurable net-positive transformation toward global sustainability goals. G (Global Governance): The structural policy, ethical constraints, and regulatory frameworks required to steer AI deployment safely. I² (Innovation and Integration): The exponential compounding effect of technical compute capabilities, advanced machine learning models, and cross-sector deployment. Key Research Objectives Framework Design: To construct a robust framework that bridges the gap between high-level AI computing capabilities and the practical indicators of the UN SDGs. Governance Alignment: To model how structured regulatory standards (G) can maximize technological breakthroughs while mitigating ethical risks. Scalable Blueprint: To provide a practical, non-proprietary reference architecture for global institutions, technology developers, and international policymakers. Author & Affiliation Note This is an independent, self-funded research initiative. It is not bound by, nor does it represent, the official stance or proprietary resources of any single academic institution or commercial entity. All theoretical frameworks and mathematical derivations presented herein remain the intellectual property of the author.

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