Digitalization & Sustainability Review

Peer Reviewed Article

Vol. 4 No. 1 (2024)

Harnessing Artificial Intelligence to Drive Global Sustainability: Insights Ahead of SAC 2024 in Kuala Lumpur

Submitted
27 February 2024
Published
01-05-2024

Abstract

In light of the Sustainable Asia Conference (SAC) 2024 in Kuala Lumpur, this paper examines how AI can alter global sustainability. The main goal is to evaluate how AI might improve sustainability in agriculture, energy, urban management, biodiversity protection, and climate action. The study synthesizes case studies and literature using secondary data to identify practical AI applications and their obstacles. According to major studies, AI can maximize resource utilization, improve decision-making, and drive innovation while tackling data privacy, algorithmic bias, and the digital divide. The research emphasizes strong governance structures to ensure ethical AI adoption and public trust. It also stresses the necessity for AI technology access policies, especially for underprivileged areas. The study indicates that collaboration between government, corporate, and civil society is necessary for using AI for sustainable development. This research focuses on responsible practices and inclusive policies to guide actionable AI strategies that promote a resilient and sustainable future for all, contributing to the UN Sustainable Development Goals.

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