Abstract
Artificial Intelligence (AI) and Machine Learning (ML) have become pivotal technologies driving innovation across multiple sectors, including education, e-commerce, cybersecurity, and misinformation detection. Despite their transformative potential, the integration of AI and ML into these fields presents significant challenges, including data privacy concerns, scalability issues, and ethical dilemmas. This review paper synthesizes the current state of research on AI and ML applications, highlighting both their successes and the problems they encounter. The paper focuses on how AI enhances personalization in education and e-commerce, strengthens security frameworks in the Internet of Things (IoT) ecosystem, and combats the spread of misinformation. By reviewing key studies, this paper identifies gaps in the existing literature and proposes directions for future research to address these challenges. The overarching goal is to provide a comprehensive understanding of how AI and ML are reshaping digital ecosystems and what is needed to ensure their ethical and effective implementation.
Published Version
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