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AI in Everyday Life: What to Expect in the Next Decade

Rakshak Bharti
Assistant Professor
Department of Commerce and Management
Kalinga University, Raipur
Rakshak.bharti@kalingauniversity.ac.in

Over the next decade, The healthcare sector will also see major advancements as AI diagnostic tools help identify diseases at earlier stages, while individualized treatment plans based on genetic and lifestyle factors will make care more effective. In mental health (Bini, S. A. (2018)), AI-powered virtual assistants may provide immediate support, offering real-time help to those in need and expanding access to mental healthcare (Davenport, T., & Kalakota, R. (2019)).
AI is set to revolutionize both education and personal finance as well (Hamet, P., & Tremblay, J. (2017)). Adaptive learning platforms will allow education to be tailored to each student’s unique strengths, improving outcomes and making learning more inclusive. Real-time translation tools will further bridge language gaps in global education (LeCun, Y., Bengio, Y., & Hinton, G. (2015)). In personal finance, AI will take on the role of an advisor, supporting budgeting, investing, and saving efforts, while boosting security by recognizing and flagging potential fraud (Mims, C. (2019, April 22). As AI advances bring new levels of convenience and personalization, addressing ethical considerations such as privacy and transparency will be essential to ensure responsible use Huang, M. W., Lee, C. C., Chao, T. L., & Wu, Y. C. (2020).

References:-
Bini, S. A. (2018). Artificial intelligence, machine learning, deep learning, and cognitive computing: What do these terms mean, and how will they impact health care? The Journal of Arthroplasty, 33(8), 2358-2361.
Davenport, T., & Kalakota, R. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94–98.
Hamet, P., & Tremblay, J. (2017). Artificial intelligence in medicine. Metabolism, 69, S36-S40.
LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436-444.
Mims, C. (2019, April 22). AI software’s uses are expanding, and so are the concerns about its effect on jobs. The Wall Street Journal. Retrieved from https://www.wsj.com

Huang, M. W., Lee, C. C., Chao, T. L., & Wu, Y. C. (2020). AI-enabled smart home applications for independent living: Improving quality of life through assistive technology. IEEE Access, 8, 123-134.
Chui, M., Manyika, J., & Miremadi, M. (2016). Where machines could replace humans—and where they can’t (yet). McKinsey Quarterly. Retrieved from https://www.mckinsey.com
Shahbaz, M., Raza, S. H., & Sargani, G. R. (2020). IoT-enabled smart home: Innovations and future trends. IEEE Access, 8, 15545–15566.

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