GLIMS Journal of Management Review and Transformation

Artificial Intelligence and Machine Learning in Our Everyday Life: Uses, Problems and Future

Jogen Sharma¹ and Dayawanti Tarmali²

First Published 9 Dec 2025. https://doi.org/10.1177/jmrt.251398199

Article Information

Volume 4, Issue 2 September 2025

Corresponding Author:

Jogen Sharma, India International Centre, New Delhi 110003, India
Email: jogen.sharma2@gmail.com; jogen.sharma@zohomail.in

¹India International Centre, New Delhi, India

² Management Development Institute Murshidabad, West Bengal, India

Abstract

In recent years, artificial intelligence (AI) and machine learning (ML) have developed at a very high pace, transforming numerous areas of modern life. Such technologies are becoming increasingly widespread in the context of daily life in healthcare (to diagnose and monitor) and finance (to detect fraud and provide personalised services), smart homes (via voice assistants and automation), education (via AI tutors and personalised learning), transportation (with route optimisation and new self-driving vehicles) and entertainment (with recommendation systems and content creation). Individuals and organisations are assured of efficiency, customisation and automation through such applications. Nevertheless, the massive use of AI comes with serious concerns: the privacy of data, the fairness and transparency of algorithms, the elimination of biased or discriminatory results and the impact on the workforce in the form of reskilling. Therefore, it is important for them to be innovative and responsible. This article is a review of the recent literature on AI/ML in everyday life, a comparison of its adoption in different sectors and an analysis of ethical issues. A bibliometric approach is described, and existing use cases are described on a domain-by-domain basis. We balance the advantages, obstacles and comments on the policy implications. Finally, future paths, including generative AI, edge computing and sustainable AI, are discussed, and it is noted that ethical governance is needed. Combined, both these thorough reviews indicate the revolutionary potential of AI in our daily lives and the significance of its application in a responsible manner.

Keywords

AI, ML, implementation into everyday life, robots, ethical AI, intelligent technology

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