SDG-Aligned AI: A Framework for Measuring Impact

Abstract

As AI systems become increasingly prevalent, there is growing recognition of the need to ensure they contribute positively to global development goals. We propose a comprehensive framework for measuring and maximizing the positive impact of AI systems on UN Sustainable Development Goals (SDGs).

Introduction

The UN Sustainable Development Goals provide a global framework for addressing critical challenges facing humanity. AI systems have the potential to significantly contribute to these goals, but measuring and ensuring positive impact requires systematic approaches.

Framework Overview

Our framework consists of four key components:

• Goal Mapping: Identifying relevant SDGs and targets
• Impact Metrics: Defining measurable outcomes
• Assessment Methods: Tools for evaluation
• Optimization Strategies: Methods for improving impact

Case Studies

We present case studies across multiple domains:

• Healthcare: Improving access to medical services
• Education: Enhancing learning outcomes
• Environment: Supporting climate action
• Economic Development: Promoting inclusive growth

Conclusion

SDG-aligned AI requires intentional design and systematic evaluation. Our framework provides a practical approach for organizations seeking to maximize their positive impact.