THE ROLE OF EXPLAINABLE AI IN ETHICAL DECISIONMAKING SYSTEMS

Authors

  • Saima Khan Department of Computer Science, Lahore University of Management Sciences (LUMS), Lahore, Pakistan. Author
  • Fawad Iqbal School of Information Technology, National University of Sciences & Technology (NUST), Islamabad, Pakistan. Author

DOI:

https://doi.org/10.71465/mrcis141

Keywords:

Explainable AI, Ethical Decision Making, Algorithmic Transparency, Trustworthy AI

Abstract

As artificial intelligence (AI) systems increasingly impact highstakes ethical decisions—such as in healthcare, justice, hiring or autonomous systems—the need for transparency, interpretability and accountability has become paramount. Explainable AI (XAI) emerges as a critical enabler for ethical decisionmaking systems by providing humanunderstandable insights into algorithmic decisions and thereby supporting fairness, trust and responsibility. This article explores the role of XAI in ethical decisionmaking systems: we discuss foundational principles, review frameworks and usecases, present two illustrative charts indicating adoption and performance tradeoffs, and highlight the deployment roadmap and research agenda. We show that while XAI can strengthen ethical alignment of AI systems, significant tradeoffs, operational constraints and governance issues remain.

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Published

2025-10-09

Issue

Vol. 5 No. 10 (2025): Multidisciplinary Research in Computing Information Systems

Section

Articles

License

Creative Commons License

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