The Emerging Cybersecurity Challenges With Artificial Intelligence

The Emerging Cybersecurity Challenges With Artificial Intelligence

DOI: 10.4018/979-8-3693-3226-9.ch010
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Abstract

This chapter discusses the technological and socio-political challenges of integrating artificial intelligence (AI) into digital ecosystems. Understanding the power structures, ideologies, and discourses that shape cybersecurity AI perception and response is crucial. The Twitter AI-powered algorithm, the Autonomous Vehicle Accident, and the Microsoft Tay Chatbot controversy demonstrate the risks and ethical issues of AI in cybersecurity. Future possibilities include AI-enabled network intrusions, social engineering attacks, and deepfake technology for cyber espionage. The chapter discusses GDPR and CISA and emphasizes the need for AI-specific norms and internationally recognized standards to promote ethical, transparent, and responsible AI application in cybersecurity. The idea improves frameworks by integrating governance controls and creating customized risk management requirements for cybersecurity AI. Openness, accountability, and ethics are stressed to improve COBIT implementation.
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Methodology

This study employs a qualitative content analysis methodology to systematically investigate and analyze textual data pertaining to emergent challenges associated with artificial intelligence (AI) in its current form. Qualitative content analysis enables an in-depth examination of scholarly literature, reports, policy documents, and other relevant written materials to identify, categorize, and scrutinize significant themes, patterns, and insights related to AI problems.

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