AI Security Challenges, Opportunities and Future Work

Dilli Prasad Sharma (), Arash Habibi Lashkari (), Mahdi Daghmehchi Firoozjaei (), Samaneh Mahdavifar () and Pulei Xiong ()
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Dilli Prasad Sharma: University of Toronto
Arash Habibi Lashkari: York University
Mahdi Daghmehchi Firoozjaei: MacEwan University
Samaneh Mahdavifar: McGill University
Pulei Xiong: National Research Council of Canada

Chapter Chapter 12 in Understanding AI in Cybersecurity and Secure AI, 2025, pp 237-248 from Springer

Abstract: Abstract This chapter explores the key security challenges, ethical considerations, and future research directions in the secure AI. It examines challenges related to AI algorithms, data integrity, and applications, highlighting security and reliability vulnerabilities. Ethical concerns are classified across individual, societal, and environmental levels, emphasizing the broader implications of AI deployment. The chapter also discusses security challenges across different stages of the AI system lifecycle. Finally, it outlines future research directions, including adversarial attack transferability, evaluating the robustness of defense mechanisms, and emerging threats.

Date: 2025
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DOI: 10.1007/978-3-031-91524-6_12

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