INTEGRATING ARTIFICIAL INTELLIGENCE IN THE CIRCULAR ECONOMY: A STANDARDISED FRAMEWORK

Abstract

The integration of Artificial Intelligence (AI) into Circular Economy (CE) practices presents significant potential for enhancing sustainability and resource utilization. This study aims to develop a comprehensive framework for implementing AI and CE, based on the systematic literature review (SLR) and expert validation using the Delphi method. The Slayer was conducted following the PRISMA guidelines utilising Web of Science, Scopus and ScienceDirect databases to identify key attributes relevant to AI-CE integration. The Delphi method was employed to achieve expert consensus, with agreement validation through percentage agreement analysis. The proposed framework consist of five core components: Data Management, AI Model Selection, System Integration, Performance Monitoring and Governance & Ethics. Expert feedback was incorporated, ensuring the frameworks relevance and applicability. This study contributes to existing research by providing a structured approach to AI-driven CE processes while maintaining efficiency, ethical considerations, and regulatory compliance. The framework serve as a guideline for researchers, policy makers, and in industry stakeholders, supporting sustainable development goals through responsible AI applications.