Explainable Artificial Intelligence (XAI) for Next Generation Cybersecurity: Concepts, challenges and applications
edited by Farhan Ullah, Gautam Srivastava and Awais Ahmad
The Institution of Engineering and Technology, 2025
Cloth: 978-1-83724-031-9 | eISBN: 978-1-83724-716-5 (ePub) | eISBN: 978-1-83724-032-6 (PDF)
ABOUT THIS BOOK
As AI technologies progress and influence more facets of our lives, the requirement for openness and interpretability becomes increasingly important. Explainable AI (XAI) has the potential to be a paradigm shift in the next generation of AI systems. XAI strives to make AI algorithms and methods understandable by tackling trust, bias, compliance, and accountability challenges. XAI improves model disclosure, produces intrinsically interpretable deep learning approaches, offers real-time rationales, and promotes legitimate AI practice. These advances assist in the development of a more ethically sound AI ecosystem.
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