The role of AI and machine learning in personalization, cybersecurity and information integrity across digital ecosystems

Rathore Davis 1, *, Bedi Naman 2, Rajvin Mehta 2 and Raghav Mitra 1

1 IT Department, Mizoram University - Aizawl, Mizoram, India.
2 Department of Computer Science, Pandit Ravishankar Shukla University - Raipur, Chhattisgarh, India.
 
Review Article
Global Journal of Engineering and Technology Advances, 2023, 17(03), 076–088.
Article DOI: 10.30574/gjeta.2023.17.3.0261
Publication history: 
Received on 24 November 2023; revised on 26 December 2023; accepted on 28 December 2023
 
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.
 
Keywords: 
Artificial Intelligence; Machine Learning; Personalization; Cybersecurity; Misinformation Detection; IoT Security; Adaptive Learning Systems
 
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