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AI as a detector and clean-up of environmental waste in Uganda: Legal and policy perspectives

Year: 2024

Type: article

Abstract: This study examines the integration of artificial intelligence (AI) into waste management systems in Uganda, focusing on its potential to address significant challenges caused by rapid urbanization and inefficient traditional methods. The findings indicate that AI technologies—such as automated clean-up systems, waste detection through satellite imagery and drones, and logistics optimization can enhance efficiency, reduce costs, and improve waste management practices. However, the implementation of AI faces hurdles such as inadequate technological infrastructure, insufficient regulatory frameworks, and limited public awareness. Recommendations include developing robust policy frameworks, investing in digital infrastructure, fostering public-private partnerships, and building local technical expertise. Despite these challenges, AI offers transformative potential for Uganda’s waste management sector, promising greater efficiency and sustainability if the identified barriers are effectively addressed.

Source: Kampala International University law journal

DOI: 10.59568/kiulj-2024-6-2-15

Authors: Esther Kisubi, Ramadhan Malingha, Yusuf Mohammed Sani, Andrew Martial, Collins Ekpenisi

Language: English

Topic: Municipal Solid Waste Management

Subfield: Waste Management and Disposal

Field: Environmental Science

Domain: Physical Sciences

SDGs: Responsible consumption and production, Industry, innovation and infrastructure, Peace, justice, and strong institutions, Clean water and sanitation, Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4407005675

FWCI: 0.259

Cites:

Cited by: 1

Related to: 10