The Impact of Artificial Intelligence (AI) and Machine Learning (ML) on CSR Initiatives in the Era of Covid-19: A Novel Approach

Authors

  • Srishti Jain PhD Scholar, Amity Law School, Amity University, Rajasthan, India.
  • Kunal Rohira Assistant Professor, Amity Law School, Amity University, Rajasthan, India.
  • Shubham Shukla Assistant Professor, Amity Law School, Amity University, Rajasthan, India.

Keywords:

Artificial Intelligence, Companies Act 2013, Corporate Social Responsibility, Covid-19, Machine Learning

Abstract

In recent times, the global impact of Coronavirus Disease 2019 (COVID-19), stemming from the severe acute respiratory syndrome virus 2 (SARS-CoV-2), brought widespread disruptions to various facets of human life, profoundly affecting economies worldwide. In the healthcare sector, the pandemic not only interrupted but also reversed advancements in health, leading to a decline in life expectancy, particularly in developing and underdeveloped nations. However, amidst these challenges, machine learning and artificial intelligence played a significant role in addressing the global impact of the pandemic. This paper explores the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in enhancing Corporate Social Responsibility (CSR) initiatives during the COVID-19 pandemic. The unprecedented challenges posed by the pandemic have necessitated innovative approaches in CSR, shifting from traditional philanthropic models to more technology-driven strategies. We investigate how AI and ML applications have enabled corporations to respond more effectively to societal needs during this crisis. The study employs a qualitative methodology, analysing various case studies where AI and ML have been integrated into CSR initiatives across different sectors. Key areas of focus include healthcare support, community outreach, employee welfare, and environmental sustainability. Our findings reveal that AI-driven data analysis has facilitated more targeted and efficient CSR activities, enabling better resource allocation and impact measurement. ML algorithms have played a crucial role in predicting community needs and assessing the effectiveness of CSR initiatives. This study contributes to the understanding of technology's impact on social responsibility in business, offering a framework for integrating AI and ML into CSR strategies. It highlights the potential of these technologies to revolutionize CSR approaches, making them more adaptive, impactful, and aligned with contemporary societal challenges. The paper concludes with recommendations for businesses looking to leverage AI and ML for socially responsible practices in the post-pandemic world.

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References

OECD, "OECD monitor of science and innovation policy responses to the Covid-19 crisis," STIP Compass, edition 4/7/2020, OECD, Paris, 2020.

K. Singh and M. Misra, "Linking Corporate Social Responsibility (CSR) and Organizational Performance: the moderating effect of corporate reputation," Eur. Res. Manag. Bus. Econ., vol. 27, no. 1, p. 100139, Jan. 2021.

M. E. H. Chowdhury et al., "Can AI Help in Screening Viral and COVID-19 Pneumonia?," in IEEE Access, vol. 8, pp. 132665-132676, 2020, doi: 10.1109/ACCESS.2020.3010287.

P. S. A. Babu and C. S. R. Annavarapu, "Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification," Appl Intell, vol. 51, no. 5, pp. 3104–3120, 2021. https://doi.org/10.1007/s10489-021-02199-4.

V. Kulkarni, "How India Is Using Artificial Intelligence to Combat COVID-19," 2020. [Online]. Available: https://www.theweek.in/news/sci-tech/2020/07/31/how-india-is-using-artificialintelligence-to-combat-covid-19.html.

S. Mohandas and R. R. Ranganathan, "AI and Healthcare in India: Looking Forward," 2017, pp. 6.

WHO, "Transmission of SARS-CoV-2: Implications for infection prevention precautions," Sci. Brief, Jul. 2020. [Online]. Available: https://www.who.int/news-room/commentaries/detail/transmission-of-sars-cov-2-implications-for-infection-prevention-precautions.

AAAS, "Artificial intelligence and COVID-19: Applications and impact assessment," American Association for the Advancement of Science, Washington, DC, USA, Tech.

S. S. et al., "An Exploratory Case Study on COVID 19 Omicron using Twitter Analytics," International Journal of Intelligent Systems and Applications in Engineering, vol. 10, no. 4, pp. 153–157, Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2209, 2022.

R. P. P. et al., "Machine Learning and Cloud Computing Based Adaptable Structure for Intelligent Covid Monitoring in the Work Environment," International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 8s, pp. 406–413, Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3067, 2023.

N. Sharma et al., "Real-Time Identification of COVID Norm Violations Based on Machine Learning," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 3s, pp. 406–413, Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3721, 2023.

P. V. Naresh, R. Visalakshi, and B. Satyanarayana, "Automatic Detection of Covid-19 from Chest X-Rays using Weighted Average Ensemble Framework," International Journal of Intelligent Systems and Applications in Engineering, vol. 12, no. 2s, pp. 608–614, Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3681, 2023.

V. Jain and V. Chourasia, "Role of Artificial Intelligence in Enhancing Corporate Social Responsibility in Health Sector during COVID-19 Pandemic: A Review," J. Public Aff. Global., vol. 4, no. 1, pp. 35-43, 2020.

T. Davenport and R. Kalakota, "The potential for artificial intelligence in healthcare," Future Healthc J, vol. 6, no. 2, pp. 94-98, Jun. 2019, doi: 10.7861/futurehosp.6-2-94.

K. Malik, "Artificial Intelligence and Machine Learning as Drivers of Corporate Social Responsibility," Journal of Corporate Citizenship, vol. 2020, no. 77, pp. 55–71, Retrieved from https://www.researchgate.net/publication/352897597_Artificial_Intelligence_and_Corporate_Social_Responsibility_Employees'_Key_Role_in_Driving_Responsible_Artificial_Intelligence_at_Big_Tech, 2020.

M. Janssen and G. Harboe, "The Role of Artificial Intelligence and Machine Learning in Disaster Response and Humanitarian Action," Computers, Environment and Urban Systems, vol. 89, pp. 101650, Retrieved from https://www.researchgate.net/publication/375488867_The_role_and_applications_of_artificial_intelligence_AI_in_disaster_management, 2021.

Tandon and A. Singh, "Leveraging Artificial Intelligence for Sustainable Development in the Post-COVID Era," Sustainability, vol. 12, no. 18, pp. 7504, doi: 10.4018/979-8-3693-0892-9.ch008, 2020.

N. Malhotra, "The Role of Artificial Intelligence and Machine Learning in Corporate Social Responsibility: An Integrated Framework," Journal of Business Ethics, pp. 1-18, doi: 10.2139/ssrn.3873097, 2021.

Choudhury et al., "Artificial Intelligence and Machine Learning in the Era of COVID-19: A Systematic Review," International Journal of Scientific & Technology Research, vol. 9, no. 04, pp. 2198-2206, https://doi.org/10.3389/fmed.2021.704256, 2020.

H. Zhang and Q. Liao, "From outbreak to pandemic: Artificial intelligence, machine learning and the evolution of covid-19," Journal of Medical Internet Research, vol. 22, no. 11, pp. e22904, 2020.

M. Ienca, E. Vayena, and A. Blasimme, "Big data and artificial intelligence as the engine of the covid-19 response: opportunities, challenges, and policy implications," The Journal of Bioethical Inquiry, vol. 17, no. 4, pp. 679-683, 2020.

C. C. Agbo and Q. H. Mahmoud, "Big Data Analytics, Artificial Intelligence and Machine Learning in COVID-19 Pandemic Response: A Comprehensive Review," IEEE Access, vol. 9, pp. 54529-54545, 2021.

P. Bansal and V. Kumar, "Artificial Intelligence and Corporate Social Responsibility: The Way Forward," International Journal of Advanced Research in Computer Science, vol. 11, no. 6, pp. 258-264, 2020.

A. Hassan and W. M. Elnomrosy, "Artificial Intelligence and Corporate Social Responsibility: A Conceptual Study," Journal of Advanced Research in Dynamical and Control Systems, vol.13 no. Special Issue, pp. 388-396, 2021.

S. Chakraborty and S. Mittal, "The Role of Artificial Intelligence in Corporate Social Responsibility during COVID-19 Pandemic," Research Journal of Recent Sciences, vol. 9, no. 6, pp. 10-16, 2020.

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Published

24.03.2024

How to Cite

Jain, S. ., Rohira, K. ., & Shukla, S. . (2024). The Impact of Artificial Intelligence (AI) and Machine Learning (ML) on CSR Initiatives in the Era of Covid-19: A Novel Approach. International Journal of Intelligent Systems and Applications in Engineering, 12(18s), 492–498. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4994

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Research Article