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Leveraging AI to Enhance Extended Producer Responsibility Compliance in Construction Waste Management

Year: 2025

Type: conference-paper

Abstract: Extended Producer Responsibility (EPR) mandates that producers are accountable for the environmental impact of their products throughout their lifecycle, including waste management.In the construction industry, complying with EPR regulations presents challenges due to the diverse nature of materials and the complexity of projects.This paper explores integrating artificial intelligence (AI) technologies to streamline and enhance EPR compliance in construction waste management.By automating data collection, analysis, and reporting, AI systems offer opportunities to improve efficiency, accuracy, and transparency.This study demonstrates the potential of AI-driven solutions to revolutionize EPR compliance in construction, leading to significant environmental and economic benefits.

Source: Proceedings of International Conference on Artificial Life and Robotics

DOI: 10.5954/icarob.2025.os27-4

Authors: Mohamed Fuad Shahariman, Muhammad Azizi Azizan, Hazry Desa, Nur Amierah Harun

Institution: Universiti Malaysia Perlis

Language: English

Topic: Recycled Aggregate Concrete Performance

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure

Open Access status: bronze

Funder: Universiti Malaysia Perlis