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AI Security Challenges, Opportunities and Future Work

In: Understanding AI in Cybersecurity and Secure AI

Author

Listed:
  • 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)

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.

Suggested Citation

  • Dilli Prasad Sharma & Arash Habibi Lashkari & Mahdi Daghmehchi Firoozjaei & Samaneh Mahdavifar & Pulei Xiong, 2025. "AI Security Challenges, Opportunities and Future Work," Progress in IS, in: Understanding AI in Cybersecurity and Secure AI, chapter 0, pages 237-248, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-91524-6_12
    DOI: 10.1007/978-3-031-91524-6_12
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