Regulatory and Ethical Implications of Explainable AI in Cybersecurity: Navigating Compliance, Responsibility, and Trust
Year: 2024
Type: article
Abstract: Explainable Artificial Intelligence (XAI) promises to enhance transparency in cybersecurity systems by providing human-interpretable justifications for AI-driven decisions. However, integrating XAI into high-stakes security environments presents multifaceted regulatory and ethical challenges. This paper explores how XAI intersects with major compliance frameworks such as HIPAA, GDPR, and NIST, and investigates the risks of “explanation overfitting” where misleadingly plausible explanations mask flawed decision logic. Furthermore, the paper examines ethical dilemmas surrounding the delegation of critical security decisions to autonomous systems. We argue that without rigorous governance, the opacity and perceived objectivity of AI explanations may foster overreliance and weaken accountability. Recommendations are provided to align XAI development with both regulatory expectations and ethical imperatives.
Author: Akilnath Bodipudi
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930931135
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