Ethical Challenges and Regulatory Considerations in Quantum AI-Powered Cyber Threat Detection

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Author(s): Mayur Jariwala (University of the Cumberlands, USA)
Copyright: 2026
Pages: 36
Source title: Advancing Cyber Threat Detection Through Quantum and Edge Computing
Source Author(s)/Editor(s): Shenson Joseph (University of North Dakota, USA), Kishor Kumar Reddy C. (Stanley College of Engineering and Technology for Women, India), Asegul Hulus (Association for Computing Machinery, Cyprus)and Tatjana Sibalija (Union University, Serbia)
DOI: 10.4018/979-8-3373-3551-3.ch009

Keywords: Cyber and Network Security / Information Science Reference / Knowledge Management and Library Science / Quantum Information & Computing

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Abstract

As quantum computing and AI converge in cybersecurity, strong ethical and regulatory frameworks are essential. This chapter examines challenges posed by quantum AI in threat detection, including concerns over data sovereignty, bias, transparency, and adversarial risk. Drawing on case studies from finance, healthcare, and national security, it critiques current frameworks such as the EU AI Act and GDPR, identifying enforcement gaps. It also explores ethics-by-design, human-in-the-loop systems, and the evolving roles of academia, industry, and policymakers. The chapter proposes a roadmap for responsible quantum AI deployment, emphasizing international cooperation, adaptive regulation, and human-centric design. It offers practical insights for researchers, cybersecurity leaders, and regulators navigating this emerging frontier.

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Ethical Challenges and Regulatory Considerations in Quantum AI-Powered Cyber Threat Detection

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