Journal of AI, Data Science and Cyber Systems

'Human AI Collaboration in Cyber and Data Systems' implies joint efforts where adaptable and specialized human intelligence and AI systems pitch in to support decision-making, efficiency, and resilience in complex digital ecosystems. AI in Cybersecurity and data-driven systems is proficient in data processing, pattern recognition, and machine speed responding, while humans provide context, empathy, strategy, and imagination. The best collaborations are when AI is designed to empower and elevate human work, providing clear and actionable insights, prioritized tasks, and decision-making support rather than black box automation. The model focuses on partnership with collaborative explainable AI, intuitive interface, and human-in-the-loop which lets analysts comprehend, confirm, and override recommendations from AI. Human users’ interaction with the AI helps improve and fine-tune the model to minimize false positives and address new and changing threats and operational environments. The partnership of AI’s scalability and consistency with human intuition and accountability demonstrates there is significant value in human–AI collaboration for cyber defense, data analytics, and operating systems in complex jobs with high risk of error.