AI4Ekonomi for Economic Empowerment in Malaysia

DOI

10.2991/978-94-6239-636-4_4How to use a DOI?

Keywords

Recommender system; Artificial Intelligence; machine learning; challenges; socio-economic

Abstract

Poverty remains a critical challenge for low-income households (B40) in Malaysia, with traditional economic aid often being too general to address the specific needs of these families. This paper proposes an Artificial Intelligence (AI)-based recommender system designed to empower low-income households by providing tailored economic solutions. The AI4EKonomi framework leverages machine learning techniques to analyse socioeconomic data, such as household income, skills, location, and family dynamics, to generate personalized recommendations for income-generation opportunities, training programs, micro-loans, and entrepreneurship initiatives. The paper presents a conceptual model for this system, illustrating how AI can match households with relevant opportunities to improve their economic resilience. By contextualizing AI in the Malaysian socio-economic landscape, this framework aims to bridge the gap between traditional aid and data-driven, personalized support. The proposed system promises to enhance decision-making processes for policymakers and social organizations, fostering sustainable economic empowerment for disadvantaged communities. The paper also discusses the potential implications of AI adoption in the social welfare sector and highlights the challenges and opportunities of implementing such systems at the large scale.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Nor Hafiza Haron
AU  - Nor Hafiza Abd Samad
AU  - Jihadah Ahmad
AU  - Nadiah Yusof
AU  - Khairatul Alyani Badari
PY  - 2026
DA  - 2026/04/28
TI  - AI4Ekonomi for Economic Empowerment in Malaysia
BT  - Proceedings of the International Conference on Cross- Disciplinary Academic Research 2025 - Track 1 Advances in Computing, Electronics, Engineering, and Mathematics (ICAR-T1 2025)
PB  - Atlantis Press
SP  - 30
EP  - 40
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6239-636-4_4
DO  - 10.2991/978-94-6239-636-4_4
ID  - Haron2026
ER  -