The Future of Artificial Intelligence with Respect to Society: A Comprehensive Review

Authors

  • Parveen Singh Cluster University of Jammu, India
  • Ashok Sharma University of Jammu, India
  • Vibha Mahajan GCET, Jammu, India

Keywords:

Artificial Intelligence, Machine Learning, Model Building, Expert System

Abstract

Artificial Intelligence (AI) is still in its infancy but continues to bring tremendous benefits to human life and may well prove to be the most powerful technology ever invented. It has played a vital role in our society and has transformed lifestyle of humans to a massive extent. It has the potential to transform health sector, increase productivity, can play a major role in saving environment and enhance both freedom and democracy. In recent past the AI has penetrated into human’s life to a greater extent. Although this penetration has impacted into positive and negative ways on society but, this current era of Digitization can’t survive without adopting AI tools and technologies in solving highly complex and diverse societal problems. Presently, the dependency of humans on AI system has increase manifold and in near future the society may leads to explainable AI, where there are chances for every human activity to be controlled by machines. In this paper, we begin with a general introduction to the field of artificial intelligence, then progress to exploring the subsets of AI and examine their practical applicability with respect to different domains of society followed by Impactful Evaluation where the positive influence of AI in different fields has been explored. Lastly, the focus has been paid to Critical Evaluation in which the negative consequences and various challenges associated with AI has been paid attention. In conclusion, several recommendations for AI systems and their associated applications have been made to enhance its applicability in the society.

 

References

Guram, H. and Sharma, A., 2021. Patch base segmentation for classification of dementia disorder with optimize feature weight and random forest-based approach. Materials Today: Proceedings, [online] Available [Accessed 11 September 2022]

Sharma, A., Singh, P. and Dhar, G., 2021. Artificial Intelligence and Machine Learning for Healthcare Solutions. 3rd ed. US: John Wiley & Sons, Inc., pp.281-291, 2021.

SHarma, A., Bachate, R., V Pawar, M. and Shardoor, N., 2022. Artificial intelligence-based solutions for COVID-19. 3rd ed. US: Academic Press, pp.167-189, 2022.

SHarma, A., Singh, P. and Dhar, G., 2021. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease. 5th ed. US: IGI Global, pp.140-149, 2021.

Sharma, A. and Dhar, G., 2019. Deep Learning A Compass To Medical Sciences. Think India, 22(17), pp.1737-1746, 2019.

Sharma, A. and Gurram, H., 2022. Identifying the Rules of Transition from AD to Dementia and MCI Using Machine Learning. International Journal of Control and Automation, [online] 13(4), pp.718 - 729. Available at: [Accessed 11 September 2022]

T Talaviya, D Shah, N Patel, H Yagnik, and M Shah, “Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides”, Artificial Intelligence in Agriculture, vol. 4, pp. 58-73, 2020. https://doi.org/10.1016/j.aiia.2020.04.002

E Digalaki, “The impact of artificial intelligence in the banking sector & how AI is being used in 2020”, https://www.businessinsider.in/finance/news/the-impact-of-artificial-intelligence-in-the-banking-sector-how-ai-is-being-used-in-2020/articleshow/72860899.cms

IM Enholm, E Papagiannidis, P Mikalef, et al. “Artificial Intelligence and Business Value: a Literature Review”, Information System Frontiers, 2021. https://doi.org/10.1007/s10796-021-10186-w

Kelley and Sayler, “Artificial Intelligence and National Security”, 2020. https://sgp.fas.org/crs/natsec/R45178.pdf

L Chen, P Chen and Z Lin, “Artificial Intelligence in Education: A Review”, IEEE Access, vol.8, pp.75264-75278, 2020. https://doi.org/10.1109/ACCESS.2020.2988510.

G Rong, A Mendez, EB Assi, B Zhao, M Sawan, “Artificial Intelligence in Healthcare: Review and Prediction Case Studies”, Engineering, vol.6, no.3, pp.291-301, 2020. https://doi.org/10.1016/j.eng.2019.08.015

A Roy and S Misra “Impact of artificial intelligence on the legal system”, https://blog.ipleaders.in/impact-artificial-intelligence-legal-system/. 2021.

LS Iyer, “AI enabled applications towards intelligent transportation”, Transportation Engineering, vol.5, 2021. https://doi.org/10.1016/j.treng.2021.100083

Downloads

Published

2022-06-30

How to Cite

[1]
P. Singh, A. Sharma, and V. Mahajan, “The Future of Artificial Intelligence with Respect to Society: A Comprehensive Review”, Int. J. Sci. Res. Net. Sec. Comm., vol. 10, no. 3, pp. 11–17, Jun. 2022.

Issue

Section

Review Article

Similar Articles

<< < 2 3 4 5 6 7 8 9 10 11 > >> 

You may also start an advanced similarity search for this article.