The role of automation and AI in shaping the future of employment

Authors

  • Dr. Poonam Devi Assistant Professor, Department of Commerce, Sirifort Institute of Management Studies, Guru Govind Singh, Indraprastha University of Delhi, Delhi, India
  • Rima Alagh Assistant Professor, Department of Commerce, Sirifort Institute of Management Studies, Guru Govind Singh, Indraprastha University of Delhi, Delhi, India

DOI:

https://doi.org/10.64171/JSRD.4.S1.127-132

Keywords:

Artificial Intelligence, Employment, Automation

Abstract

The presence of Artificial Intelligence (AI) and automation of work provides a revolution in the world of work. But at the same time, this can threaten human potential in employment. This research was conducted to see the influence exerted by AI and automation on human employment. This research will be carried out using a descriptive qualitative approach. The data used in this study comes from various research results and previous studies that still discuss the use of AI and automation in the world of work. This study found that AI and automation are currently replacing many jobs. However, some bits of intelligence belonging to humans, such as intuition and empathy, are still difficult for AI to imitate. Even though the existence of AI and automation can be a threat to humans in the workforce, with the increase in human resource skills then humans who adapt will not be replaced by machines, but there will be the integration of human-machine work, where AI and automation do not replace humans but become tools for human labor.

References

Computer Science: Artificial Intelligence. Wikibooks. Available from: http://en.wikibooks.org/wiki/Computer_Science:Artificial_Intelligence

Artificial Intelligence – HowStuffWorks. Available from: http://www.howstuffworks.com/arificialintelligence

Available from: http://www.google.co.in

ThinkQuest Library. Available from: http://www.library.thinkquest.org

Application of AI. Javatpoint. Available from: https://www.javatpoint.com/application-of-ai

Artificial intelligence techniques. EDUCBA. Available from: https://www.educba.com/artificial-intelligence-techniques/

CIGI Online. Cybersecurity battlefield. Available from: https://www.cigionline.orgw/articles/cybersecuritybattlefield/

Tzafestas S, Verbruggen H. Artificial intelligence in industrial decision making, control, and automation: an introduction. In: Artificial Intelligence in Industrial Decision Making, Control, and Automation. Dordrecht: Springer, 1995, p1–39.

Boire R. Artificial intelligence (AI), automation, and its impact on data science. In: 2017 IEEE International Conference on Big Data (Big Data), 2017, Boston 3571–3574. doi:10.1109/BigData.2017.8258349

Evans G. Solving home automation problems using artificial intelligence techniques. IEEE Trans Consum Electron. 1991;37(3):395–400.

Leslie D. Understanding artificial intelligence ethics and safety: a guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute, 2019. doi:10.5281/zenodo.3240529

Chapman D. Planning for conjunctive goals. Artif Intell. 1987;32(3):333–377.

Charlton JI. Nothing About Us Without Us: Disability Oppression and Empowerment. 1st ed. University of California Press, 1998. Available from: http://www.jstor.org/stable/10.1525/j.ctt1pnqn9

Center for AI and Digital Policy. Artificial intelligence and democratic values, 2023. Available from: https://www.caidp.org/reports/aidv-2021/

Forbus K. Qualitative Representations: How People Reason and Learn about the Continuous World. MIT Press, 2019.

Gordon ML, et al. The disagreement deconvolution: Bringing machine learning performance metrics in line with reality. In: 2021 CHI Conference on Human Factors in Computing Systems, 2021. Available from: http://dx.doi.org/10.1145/3411764.3445423

Green C. Application of theorem proving to problem solving. In: 1st International Joint Conference on Artificial Intelligence, 1969, 219–237.

Jozefowicz R, Zaremba W, Sutskever I. An empirical exploration of recurrent network architectures. In: 32nd International Conference on Machine Learning (ICML), 2015, 2342–2350.

Lehman J, Clune J, Misevic D, et al. The surprising creativity of digital evolution: Anecdotes from the evolutionary computation and artificial life research communities. CoRR, 2018. Available from: http://arxiv.org/abs/1803.03453

Levy R. Social media, news consumption, and polarization: Evidence from a field experiment. Am Econ Rev. 2021;111(3):831–870. doi:10.1257/aer.20191777

Littman ML, et al. Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. Stanford University, 2021. Available from: http://ai100.stanford.edu/2021-report.

Downloads

Published

2025-11-04

How to Cite

[1]
P. Devi and R. Alagh, “The role of automation and AI in shaping the future of employment”, J. Soc. Rev. Dev., vol. 4, no. Special Issue 1, pp. 127–132, Nov. 2025.