Ethical Challenges and Regulatory Considerations in Quantum AI-Powered Cyber Threat Detection
Mayur Jariwala · 2025
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.