Exploring Challenges and Emerging Trends in AI, Machine Learning, IoT,  and Security: Ethical, Technical, and Societal Perspectives

Stuti Saxena, Kulwinder Kaur, Mukesh Kumar Saini, Mahima Magon

Exploring Challenges and Emerging Trends in AI, Machine Learning, IoT, and Security: Ethical, Technical, and Societal Perspectives

Authors

Stuti Saxena, Kulwinder Kaur, Mukesh Kumar Saini, Mahima Magon

Keywords:

Machine Learning, Ethical AI ,Artificial Intelligence, Explainable AI, AI Trends, Autonomous Systems

Abstract

This review delves into the evolving challenges and trends surrounding Artificial Intelligence (AI) andMachine Learning (ML) from ethical, technical, and societal viewpoints. As AI/ML technologies permeate sectorslike healthcare, finance, and autonomous systems, they introduce both significant opportunities and intricate challenges. Key issues discussed include bias and fairness in AI models,

References

[1] Schindelin, J., Rueden, C. T., Hiner, M. C., & Eliceiri, K. W. (2015). The ImageJ ecosystem: An open platform for biomedical image analysis. Molecular reproduction and development, 82(7-8), 518-529

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Published

2024-05-15

How to Cite

Stuti Saxena, Kulwinder Kaur, Mukesh Kumar Saini, Mahima Magon. (2024). Exploring Challenges and Emerging Trends in AI, Machine Learning, IoT, and Security: Ethical, Technical, and Societal Perspectives. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3890–3894. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5903