Ethical Challenges in AI-Driven Cybersecurity Decision-Making

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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.

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

Cadet et al. (2024) studied this question.

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