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Securing the AI Frontier: Urgent Ethical and Regulatory Imperatives for AI-Driven Cybersecurity

arXiv 2501.10467 ↗First posted 15 Jan 2025cs.CR cs.AI cs.CYcited by 0

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Abstract (arXiv)

This paper critically examines the evolving ethical and regulatory challenges posed by the integration of artificial intelligence (AI) in cybersecurity. We trace the historical development of AI regulation, highlighting major milestones from theoretical discussions in the 1940s to the implementation of recent global frameworks such as the European Union AI Act. The current regulatory landscape is analyzed, emphasizing risk-based approaches, sector-specific regulations, and the tension between fostering innovation and mitigating risks. Ethical concerns such as bias, transparency, accountability, privacy, and human oversight are explored in depth, along with their implications for AI-driven cybersecurity systems. Furthermore, we propose strategies for promoting AI literacy and public engagement, essential for shaping a future regulatory framework. Our findings underscore the need for a unified, globally harmonized regulatory approach that addresses the unique risks of AI in cybersecurity. We conclude by identifying future research opportunities and recommending pathways for collaboration between policymakers, industry leaders, and researchers to ensure the responsible deployment of AI technologies in cybersecurity.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 20 references that are in the map. First posted on arXiv 15 Jan 2025.

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References · 2

  1. 2021Demystifying the Draft EU Artificial Intelligence Actcited by 82
  2. 2023Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UKcited by 13

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