The purpose of this study is to examine the effect of institutional trust and trust in AI-powered security technology on ethical perception of AI-powered security technology by integrating trust and ethical decision-making theoretical frameworks. This research also examines the impact of ethical perception in predicting information security commitment and complacency, as well as investigates whether algorithmic fairness has a moderating effect on the level of trust placed behind artificial intelligence (AI) powered in managing information security technology. Theoretical contributions include advancing our understanding of trust formation, ethical perception, and information security behaviors in the context of AI-powered information security technology. At the same time, practical implications highlight the importance of promoting ethical considerations in AI-powered information security technology. By addressing concerns related to algorithmic fairness, organizations can enhance trust, ethical perception, and commitment to organizational information security, mitigating the risk of security complacency.