Explainable AI in Cybersecurity: Building Trust through Enhanced Transparency

Authors

  • Mei-Ling Li Department of Artificial Intelligence, National Chiao Tung University, Taiwan

Abstract

As artificial intelligence (AI) continues to be integrated into various aspects of cybersecurity, the need for explainable AI (XAI) has become increasingly apparent. This paper explores the importance of XAI in cybersecurity, focusing on how it enhances transparency, builds trust among stakeholders, and improves decision-making processes. By analyzing current challenges and presenting case studies, the paper highlights the potential of XAI to revolutionize cybersecurity practices and foster a more secure digital environment.

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Published

2024-04-17

How to Cite

Li, M.-L. (2024). Explainable AI in Cybersecurity: Building Trust through Enhanced Transparency. MZ Journal of Artificial Intelligence, 1(1). Retrieved from http://mzresearch.com/index.php/MZJAI/article/view/459