AccountabilityExplainabilityTrustworthinesscs.CR
AI Potentiality and Awareness: A Position Paper from the Perspective of Human-AI Teaming in Cybersecurity
Iqbal H. Sarker, Helge Janicke, Nazeeruddin Mohammad, Paul Watters, Surya Nepal
September 28, 2023
arXiv.org
11 citations
2 influential
Key Takeaways
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AI alone is insufficient for cybersecurity: While AI can enhance threat detection through pattern recognition and predictive modeling, the paper argues that deploying AI into real-world cybersecurity requires understanding its capabilities, challenges, and ethical implications—suggesting that AI systems cannot be trusted to operate independently without human oversight.
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Human experts are essential for accountability and trust: The paper emphasizes that human experts play a critical role in explaining AI-generated security decisions to stakeholders, regulators, and end-users. This human interpretability is necessary for establishing responsibility and accountability in AI-driven security solutions, particularly in high-stakes situations.
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Human-AI teaming combines complementary strengths: The paper advocates for a "balanced approach" where human expertise—including intuition, critical thinking, and contextual understanding—is combined with AI's computational power. This partnership is presented as superior to either humans or AI working alone in defending against cyber threats.
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Risk factors require active management: The paper identifies that AI technologies carry "possible risk factors" in cybersecurity contexts that must be actively managed. Rather than assuming AI systems are inherently safe, the authors stress the need for deliberate strategies to handle these risks in real-world applications.
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Ethical and legal considerations are foundational: The paper underscores that successful AI deployment in cybersecurity necessitates in-depth understanding of ethical and legal implications, suggesting these considerations should be integrated into security strategies from the outset, not treated as afterthoughts.