The use of artificial intelligence in capacity building in public sector (Record no. 533705)
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| 000 -LEADER | |
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| fixed length control field | 02176nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
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| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bist, Devaj |
| 245 ## - TITLE STATEMENT | |
| Title | The use of artificial intelligence in capacity building in public sector |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | ISTM Journal of Training Research and Governance |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 6(1&2), Jan, 2026: p.69-77 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | As governments globally accelerate their transition toward Digital Era Governance (DEG), the integration of Artificial Intelligence (AI) has emerged as a critical lever for administrative efficiency. However, a significant dichotomy exists between the procurement of advanced AI tools and the readiness of the public workforce to utilize them effectively—a phenomenon termed the "Enablement Gap. " This study investigates the current state of AI capacity building within the public sector, moving beyond infrastructure analysis to focus on human capital readiness. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), this research employs a quantitative, descriptive-correlational design to assess the "Performance Expectancy" and "Facilitating Conditions" among public servants. Data was collected via a structured survey instrument targeting a stratified sample of experienced government officials (N=26). Findings indicate a "Paradox of Readiness": while 76.9% of respondents believe AI would improve productivity, nearly 50% report receiving no formal training. Consequently, 58.3% cite "lack of time" rather than fear as their primary barrier to adoption. This disconnect has fostered an environment of "Shadow AI, " where unauthorized tools are used without oversight. This paper proposes a "Human-in-the-Loop" competency framework, arguing that sustainable capacity building requires a shift from sporadic technical workshops to continuous, ethics-centred algorithmic literacy. –Reproduced https://www.istm.gov.in/library/information_bulletin/journal |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Public administration, Artificial intelligence, Capacity building, Digital governance, UTAUT, AI Llteracy, Shadow AI |
| 9 (RLIN) | 61201 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | ISTM Journal of Training Research and Governance |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2026-06-11 | 6(1&2), Jan, 2026: p.69-77 | AR139177 | 2026-06-11 | Articles |