Published Paper Details:

Artificial Intelligence (AI) has evolved into a transformative technology capable of analyzing and forecasting human behavior across multiple sectors--ranging from marketing and healthcare to social media, security, and psychology. With access to extensive datasets and powerful learning algorithms, AI systems can recognize behavioral trends, predict future actions, and even personalize responses with remarkable precision. This study reviews the current progress in AI-driven behavior prediction, focusing on methods like neural networks, natural language processing, and behavioral analytics. It also examines their effectiveness, ethical considerations, and limitations. While AI demonstrates high accuracy in certain scenarios, issues related to bias, privacy, model transparency, and human unpredictability continue to restrict absolute precision. The research concludes by discussing future prospects and the importance of maintaining ethical, explainable, and human-centered AI development. Keywords: Artificial Intelligence, Behavioral Prediction, Machine Learning, Neural Networks, Data Privacy, Ethics in AI, NLP, Human-Centric Systems, Algorithmic Bias, Predictive Analytics.