Public value-creation through application of artificial intelligence (AI) in Covid-19 management: Policy lessons from India (Record no. 525606)
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| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Katekar, Vishal and Cheruku, Jeevan Kumar |
| 245 ## - TITLE STATEMENT | |
| Title | Public value-creation through application of artificial intelligence (AI) in Covid-19 management: Policy lessons from India |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Indian Journal of Public Administration |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 70(1), Mar, 2024: p.63-81 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The COVID-19 pandemic had posed significant challenges for public health systems worldwide. Countries had been experimenting with innovative solutions to address the crisis. Artificial Intelligence (AI) has emerged as a promising technology in this regard, with its potential to improve disease detection, contact tracing, and vaccine distribution. The Government of India had administered more than 1,000 million vaccines in a short period since the outbreak of COVID-19, that is, in March 2020. The government harnessed the potential of AI for providing services to citizens during this uncertain time. This article aims to explore the potential of AI in creating public value in the context of COVID-19 management in India. The analysis is based on primary and secondary sources such as research articles, reports published by government and non-government organisations, online databases, and discussion papers. The findings of the study suggest that AI played a critical role in enhancing the effectiveness of COVID-19 management in India. The application of AI has led to significant improvements in disease surveillance, diagnosis, and treatment, thereby creating public value. The study highlights that the assimilation of AI-enabled services increases the citizens’ participation and overall satisfaction and enhances public trust in the government initiatives. The study recommends for a supportive policy environment which fosters innovation and collaboration between stakeholders in leveraging AI. The study also highlights the need for a robust regulatory framework which ensures data privacy and security. – Reproduced https://journals.sagepub.com/doi/full/10.1177/00195561231204937 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Indian Journal of Public Administration |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| Subject DIP | ARTIFICIAL INTELLEGENCE |
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| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Not For Loan | Indian Institute of Public Administration | Indian Institute of Public Administration | 2024-03-27 | 70(1), Mar, 2024: p.63-81 | AR131402 | 2024-03-27 | Articles |
