AN EMPIRICAL STUDY ON RISK AND OPPORTUNITIES OF USE OF ARTIFICIAL INTELLIGENCE IN THE INDIAN INSURANCE SECTOR

Authors

  • Harikumar Pallathadka Manipur International University, Imphal, Manipur, India Author
  • Laxmi Kirana Pallathadka Manipur International University, Imphal, Manipur, India Author

DOI:

https://doi.org/10.61841/95j0k180

Keywords:

insurance, AI, Artificial Intelligence in insurance

Abstract

 Studies have been done to understand the use cases of AI or Artificial intelligence, in the

insurance sector. Specifically, they aim to explore the scope and market penetration of

Artificial Intelligence in the insurance sector to overcome ongoing issues for better consumer

satisfaction. Based on the concept of Artificial Intelligence, the conceptual model has been

developed. This conceptual model mainly aims at measuring the relation between Artificial

Intelligence and its use case in the insurance sector. These studies conclude specific practical

insights that are considered helpful for the insurance companies while responding to the

dissatisfied consumers and the other operational issues

Previously, the party to the insurance contract, the insurer and insured, used to have

different information. It is crucial for understanding the insurance economies as asymmetry

causes strategic behavior. The insurer tries to get maximum data so that the behavior of the

insured may be inferred. 

Downloads

Download data is not yet available.

References

1. Kumar N., Srivastava J.D., and Bisht H., (2019), Artificial Intelligence in Insurance

Sector, 21(7), 79-91

2. Corea F., (2017), Artificial Intelligence and Exponential Technologies: Business

Models Evolution and New Investment Opportunities. Switzerland: Springer

International Publishing, 5(7), 474- 478

3. Malali A.B., Gopalakrishnan S., (2020), Application of Artificial Intelligence and Its

Powered Technologies in the Indian Banking and Financial Industry: An Overview,

25(4), 55-60

4. Dhanabalan, T. & Sathish, A., (2018), Transforming Indian industries through

artificial Intelligence and robotics in industry 4.0., International Journal of

Mechanical Engineering and Technology, 9(10), 835– 845

5. Rajamohan, S. &Dhanabalan, T., (2013), Rural development through ICT:

opportunities and challenges. International Journal of Retailing & Rural Business

Perspectives, 2(2), 354

6. Sathish A., (2018), transforming Indian industries through artificial Intelligence and

robotics in industry 4.0, Department of Logistics Management International Journal

of Mechanical Engineering and Technology (IJMET), 9(10), 835–845

7. RinaMaiti S. and Mishra L., (2018), GIS and Sensor-Based Rain Water Harvesting

with Artificial Intelligence System for Free Land sliding, International Journal of

Civil Engineering and Technology, 9(6), 54–66

8. Gramegna, A., Giudici, P., (2020), Why to Buy Insurance? An Explainable Artificial

Intelligence Approach. Risks, 8, 137

9. Revathi, P.,(2020), Technology and Innovation in Insurance – Present and Future

Technology in Indian Insurance Industry, International Journal of Engineering and

Management Research, 10(1), 21-25

10. Ostagar A.M. (2018), Impact of Technology and Innovation in Insurance Sector,

International Journal of Management, IT and Engineering, 9(12), 253- 258

11. Nayak, B., Bhattacharyya, S.S. and Krishnamoorthy, B. (2019), Application of digital

technologies in health insurance for social good of bottom of pyramid customers in

India, International Journal of Sociology and Social Policy, 39( 9/10), 752-772

12. Sharma G., Yadav, A. Chopra R. (2020), Artificial Intelligence and effective

governance: A review, critique and research agenda, Sustainable Futures, 2,100004,

13. Kankanhalli A., Charalabidis Y., Malleoli S., (2019), IoT and AI for smart

government: a research agenda, Gov. Inf. Q., 36 (2), 304-309

14. Marda V., (2018), Artificial intelligence policy in India: a framework for engaging the

limits of data-driven decision-making, Philos. Trans. R. Soc. A Math. Phys. Eng.

Sci., 376 (2133),1-19

15. Tuan M.N.D., Thanh N.N., Tuan L. Le, (2019) applies a mindfulness-based reliability

strategy to the Internet of Things in healthcare – a business model in the Vietnamese

market, Technol. Forecast. Soc. Change, 140,54-68

16. Casares A.P., (2018), The brain of the future and the viability of democratic

governance: the role of artificial Intelligence, cognitive machines, and viable systems

Futures, 103,5-16

17. Sun T.Q., Medaglia R., (2019), Mapping the challenges of artificial Intelligence in

the public sector: evidence from public healthcare Gov. Inf. Q., 36 (2), 368-383

18. Mikhaylov S.J., Esteve M., Campion A., (2018), Artificial Intelligence for the public

sector: opportunities and challenges of cross-sector collaboration Philos. Trans. R.

Soc. A Math. Phys. Eng. Sci., 376 (2128), 1-21

19. Jiang F., Jiang Y., Hui Z., Dong Y., Li H., Ma S.,(2017), Artificial Intelligence in

healthcare: past, present and future, Stroke Vasc. Neurol., 2 (4), 230-243

20. Ho CWL, Soon D., Caals K., Kapur J., (2019), Governance of automated image

analysis and artificial intelligence analytics in healthcare, Clin. Radio., 74 (5), 329-

337

21. Noorbakhsh-Sabet N., Zand R., Zhang Y., Abedi V., (2019), Artificial Intelligence

transforms the future of health care, Am. J. Med., 132 (7), 795-801

22. Hengstler M., Enkel E., DuelliS. (2016), Applied artificial Intelligence and trust- the

case of autonomous vehicles and medical assistance devices, Technol. Forecast. Soc.

Change, 105, 105-120

23. Pallathadka, H., Ramirez-Asis, E. H., Loli-Poma, T. P., Kaliyaperumal, K., Ventayen,

R. J. M., & Naved, M. (2021). Applications of artificial Intelligence in business

management, e-commerce and finance. Materials Today: Proceedings, XXXX.

https://doi.org/10.1016/j.matpr.2021.06.419

24. Sriram, V. P., Mathur, A., Aarthy C, C. J., Basumatary, B., Mamgain, P., &

Pallathadka, H. (2021). Model-based using Artificial Intelligence to Overcome the

Human Resource Problem in the Healthcare Industry. Annals of RSCB, 25(4), 3980–

3992.

25. Pallathadka, H., Sonia, B., Sanchez, D. T., Vera, J. V. de, Godinez, J. A. T., & Pepito,

M. T. (2021). Investigating the impact of artificial intelligence in education sector by

predicting student performance. Materials Today: Proceedings, XXXX.

26. Wassan, S., Gulati, K., Pallathadka, H., Binish, U., Preeti, K., & Gupta, A. (2021).

How Artificial Intelligence Transforms the Experience of Employees. Turkish Journal

of Computer and Mathematics Education, 12(10), 7116–7135

Downloads

Published

30.06.2021

How to Cite

AN EMPIRICAL STUDY ON RISK AND OPPORTUNITIES OF USE OF ARTIFICIAL INTELLIGENCE IN THE INDIAN INSURANCE SECTOR. (2021). International Journal of Psychosocial Rehabilitation, 25(3), 876-887. https://doi.org/10.61841/95j0k180