Analyzing the Effect of Ethical and Security Risks of Generative Artificial Intelligence on Critical Infrastructure Systems

Abstract

Generative artificial intelligence has emerged as one of the most transformative technological innovations of the digital era. Systems based on large language models, generative adversarial networks, and multimodal artificial intelligence are capable of producing realistic text, images, code, and automated decision support. While these technologies provide significant benefits for automation, productivity, and innovation, they also introduce new ethical and security risks that may threaten critical infrastructure systems. Critical infrastructure sectors such as energy grids, transportation networks, healthcare systems, financial services, and communication platforms rely heavily on digital technologies and secure information systems for stable operation. The misuse or manipulation of generative artificial intelligence within these infrastructures could lead to misinformation attacks, automated cyber threats, privacy violations, and operational disruptions. This study analyzes the impact of ethical and security risks associated with generative artificial intelligence on the resilience of critical infrastructure systems. The research develops a conceptual model that examines how generative artificial intelligence capability, ethical risk perception, and cybersecurity vulnerability influence organizational governance mechanisms and infrastructure resilience. Data were collected from cybersecurity experts, artificial intelligence engineers, infrastructure managers, and policy analysts working in sectors such as energy, finance, and telecommunications. Structural Equation Modeling using Smart Partial Least Squares was employed to test the relationships between constructs. The results reveal that increased generative artificial intelligence capability significantly intensifies ethical risks and cybersecurity vulnerabilities within critical infrastructure systems. The findings further demonstrate that strong governance frameworks and responsible artificial intelligence management strategies play an essential role in mitigating these risks and strengthening infrastructure resilience. The study contributes to emerging research on artificial intelligence governance and digital infrastructure security by providing empirical evidence regarding the complex relationship between generative artificial intelligence technologies and critical infrastructure protection. The results highlight the importance of ethical regulation, robust cybersecurity frameworks, and responsible artificial intelligence deployment strategies to safeguard critical infrastructure in the era of advanced generative technologies.