E-Waste and the Circular Economy with AI Technology

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Authors: Dina Darwish, Soha Mohamed, Reham Adel
Cited by: 0

Abstract

To make a circular economy (CE) approach work, new ways of dealing with waste must be used that create more value and use resources better while having less of an impact on the environment. The artificial intelligence (AI) has made huge advances in technology, such as predictive analytics, automation, and more. Analytics and generative AI both help make it easier to recover, sort, and recycle trash. This paper analyses the various tiers of artificial intelligence applications, encompassing micro, meso, and macro levels. Giving specific examples of how AI solutions can make things more efficient and how they can help the environment as well as the benefits of circularity. By incorporating artificial intelligence into computer engineering frameworks, businesses and Institutions must confront the existing barriers to change, instigate significant transformations, and cultivate momentum for newly created engineering techniques based on AI that are meant for waste, as well as sustainable industrial prospects for working together.

Fields of Study & Subjects

Recycling and Waste Management Techniques Municipal Solid Waste Management Sustainable Supply Chain Management

Publication details

Journal / source
International Journal of Emerging Trends in Engineering Research
Volume
14
Issue
3
Pages
74–78
Publication date
9 March 2026
Language
EN