Artificial intelligence has become one of the most transformative technological forces shaping the contemporary digital advertising ecosystem.Machine learning algorithms allow advertising platforms to analyze enormous volumes of behavioral and contextual data in order to predict consumerpreferences and optimize advertisement delivery. Through programmatic advertising infrastructures, AI systems can evaluate millions of potentialadvertising placements in milliseconds and determine which message should be displayed to a particular user. This technological capability hasdramatically increased the efficiency of digital marketing campaigns while simultaneously raising important ethical concerns related to privacy,algorithmic transparency, and data governance. Understanding the interaction between technological innovation and ethical responsibility hastherefore become a critical challenge for researchers and policymakers examining the future of digital advertising systems.Artificial intelligence has become one of the most transformative technological forces shaping the contemporary digital advertising ecosystem.Machine learning algorithms allow advertising platforms to analyze enormous volumes of behavioral and contextual data in order to predict consumerpreferences and optimize advertisement delivery. Through programmatic advertising infrastructures, AI systems can evaluate millions of potentialadvertising placements in milliseconds and determine which message should be displayed to a particular user. This technological capability hasdramatically increased the efficiency of digital marketing campaigns while simultaneously raising important ethical concerns related to privacy,algorithmic transparency, and data governance. Understanding the interaction between technological innovation and ethical responsibility hastherefore become a critical challenge for researchers and policymakers examining the future of digital advertising systems.