K.Sai Divya, K.Shashidhar, R.Manisha 02 06 The digital advertising ecosystem has undergone a radical transformation with the advent of advanced computational technologies Consumer attitudes once relatively passive in response to traditional advertising have evolved dramatically in todays hyper connected environment This research delves deep into the complexities of consumer attitudes toward online advertising in an era increasingly shaped by artificial intelligence machine learning ML and deep learning DL Consumers interact with a multitude of ads across platforms like Google Facebook Instagram YouTube and ecommerce websites often without consciously engaging As online advertising grows more datadriven and algorithmically optimized this study seeks to understand the factors shaping consumer responsesranging from perceived utility relevance trust to privacy concerns and emotional reactions Incorporating AI techniques the study uses natural language processing NLP user clustering predictive modeling and neural network sentiment analysis to dissect consumer sentiments and behavioral tendencies It highlights how ML and DL enable the personalization of ad experiences and how these same technologies can be employed to measure predict and ethically guide consumer engagement By evaluating largescale datasets and consumer interviews the study not only reveals patterns of ad acceptance and avoidance but also proposes a roadmap for responsible AI integration in digital marketing This multidisciplinary research provides critical insights for businesses marketers technologists and policymakers striving to balance innovation consumer satisfaction and digital ethics in advertising Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026