{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T21:51:18Z","timestamp":1776117078888,"version":"3.50.1"},"reference-count":36,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T00:00:00Z","timestamp":1739318400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Digit. Gov.: Res. Pract."],"published-print":{"date-parts":[[2025,3,31]]},"abstract":"<jats:p>Generative Artificial Intelligence (GenAI) tools are becoming quite popular for a variety of operations. One such tool, Chat Generative Pre-Trained Transformer (ChatGPT), is rapidly permeating into people's daily lives and is considered to have the potential to reshape our society. While private organizations are spending huge amounts of money on ChatGPT, its usage in the public domain is still driven by its open access and simple functionality. This study draws on the key concepts of Effective Use theory\u2014Transparent Interaction, Representational Fidelity, Informed Action, and Learning and Adaptation\u2014to examine ChatGPT's current state of diffusion in four public sector domains: transportation, healthcare, agriculture, and law. We find that transparent interaction is better in transportation, agriculture, and law than healthcare; representational fidelity presents a complex picture, whereas informed action has been positive across domains; and learning and adaptation is an ongoing need. We conclude with various suggestions related to research and policy toward boosting GenAI's adoption. We suggest that governments invest resources and develop new regulatory frameworks considering the specific context and use cases for leveraging the enormous potential of GenAI tools in the public domain.<\/jats:p>","DOI":"10.1145\/3700142","type":"journal-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T13:20:34Z","timestamp":1728912034000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Potential for GenAI in the Public Domain: A Review of Transportation, Healthcare, Agriculture, and Law"],"prefix":"10.1145","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-1480-8954","authenticated-orcid":false,"given":"Divya","family":"Dwivedi","sequence":"first","affiliation":[{"name":"Information Systems, Indian Institute of Management Bangalore, Bangalore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1300-1438","authenticated-orcid":false,"given":"Rahul","family":"De'","sequence":"additional","affiliation":[{"name":"Information Systems, Indian Institute of Management Bangalore, Bangalore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,2,12]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.37622\/IJAER\/18.2.2023.119-123"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1080\/03069400.2023.2207426"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11606-023-08469-w"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10439-023-03172-7"},{"key":"e_1_3_1_6_2","article-title":"Importance of Chat GPT in agriculture: According to Chat GPT","author":"Biswas Som","year":"2023","unstructured":"Som Biswas. 2023. Importance of Chat GPT in agriculture: According to Chat GPT. Available at SSRN. https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=4405391","journal-title":"Available at SSRN"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1287\/isre.1120.0444"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1111\/pcn.13588"},{"key":"e_1_3_1_9_2","first-page":"387","article-title":"ChatGPT goes to law school","volume":"71","author":"Choi Jonathan H.","year":"2021","unstructured":"Jonathan H. Choi, Kristin E. Hickman, Amy B. Monahan, and Daniel Schwarcz. 2021. ChatGPT goes to law school. 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Roles and challenges of ChatGPT and similar generative artificial intelligence for achieving the sustainable development goals (SDGs). Available at SSRN. https:\/\/papers.ssrn.com\/sol3\/papers.cfm?abstract_id=4603244","journal-title":"Available at SSRN"},{"key":"e_1_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1021\/acsagscitech.3c00145"},{"key":"e_1_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.13031\/jash.15841"},{"key":"e_1_3_1_29_2","article-title":"More true confessions of a legal writing professor: Chat GPT makes a better therapist than a lawyer","author":"Simon Diana","year":"2023","unstructured":"Diana Simon. 2023. More true confessions of a legal writing professor: Chat GPT makes a better therapist than a lawyer. Available at SSRN. https:\/\/papers.ssrn.com\/abstract=4537745","journal-title":"Available at SSRN"},{"key":"e_1_3_1_30_2","doi-asserted-by":"publisher","DOI":"10.2196\/51243"},{"key":"e_1_3_1_31_2","first-page":"1","article-title":"ChatGPT as an artificial lawyer? Artificial intelligence for access to justice","author":"Tan Jinzhe","year":"2023","unstructured":"Jinzhe Tan, Hannes Westermann, and Karim Benyekhlef. 2023. ChatGPT as an artificial lawyer? Artificial intelligence for access to justice. 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