Citation

Topazal, S. M. and Islaml, Shayla and Kolandaisamy, Raenu A. L. and Nagarajan, Deivanayagampillai (2026) Ethical and privacy considerations in data-driven decision-making. In: Data-driven Decision Making and Soft Computing. CRC Press, pp. 278-293. ISBN 978-100363483-6, 978-104106297-4, 978-104106314-8

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Abstract

The evolution of contemporary business and governance relies heavily on Data-Driven (DD) decision-making because it allows organisations to use big data, Artificial Intelligence (AI), and Machine Learning (ML) to reach maximum performance results (Sarioguz & Miser, 2024). Increasing dependence on DD technology produces serious ethical issues and privacy concerns, which both expose security threats and lead to biased algorithms and privacy breaches through permissioned uncertainties (Arora & Thota, 2024). This chapter analyses how DD decisions should be based on responsibility alongside justice principles in addition to maintaining openness during AI operations. According to Renuka et al. (2025), it also looks at the main privacy issues related to data collection, user permission, anonymisation, and data storage. This chapter’s key focus is on the potential challenges and threats related to DD decision-making, including the influence these risks and issues have on the trust and privacy of users.

Item Type:	Book Section
Uncontrolled Keywords:	Big data, Data privacy, Decision making
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	03 Sep 2026 08:17
Last Modified:	03 Sep 2026 08:17
URII:	http://shdl.mmu.edu.my/id/eprint/16643

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