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September 10, 2025International Journal of Scientific Research in Computer Science Engineering and Information TechnologyOpen Access

Ethical Challenges in AI-Driven Cybersecurity Decision-Making

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Authors

ECEmmanuel CadetEEEdima David EtimIEIboro Akpan Essien

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Overview

Examining ethical issues like bias and transparency in AI-driven cybersecurity, highlighting importance for accountability.

Key Points

  • Ethical considerations in AI-driven cybersecurity focus on bias and transparency, impacting trust and accountability.
  • Algorithmic bias can lead to skewed decision-making, resulting in disproportionate false positives against certain groups.
  • The opacity of deep learning models complicates operational trust and can undermine legal accountability in security contexts.
  • Organizations need to embed ethical principles and maintain human oversight to prevent overreliance on AI in cybersecurity.

Cite This Study

Cadet et al. (2024) studied this question.

synapsesocial.com/papers/68c199ee9b7b07f3a061bb0chttps://doi.org/10.32628/cseit25113577
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