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ORCIDDigital Government: Research and Practice, Volume 6
Volume 6, Number 1, March 2025
- Soon Ae Chun
, Beth Simone Noveck:
Introduction to the Special Issue on ChatGPT and other Generative AI Commentaries: AI Augmentation in Government 4.0: AI Augmentation in Government 4.0. 1:1-1:8 - Jonathan Bright, Florence Enock, Saba Esnaashari, John Francis, Youmna Hashem, Deborah Morgan:
Generative AI is already widespread in the public sector: evidence from a survey of UK public sector professionals. 2:1-2:13 - Divya Dwivedi, Rahul De':
Potential for GenAI in the Public Domain: A Review of Transportation, Healthcare, Agriculture, and Law. 3:1-3:11 - Rajan Gupta, Gaurav Pandey, Saibal Kumar Pal:
Automating Government Report Generation: A Generative AI Approach for Efficient Data Extraction, Analysis, and Visualization. 4:1-4:10 - Anna-Katharina Dhungel:
"This Verdict was Created with the Help of Generative AI...?" On the Use of Large Language Models by Judges. 5:1-5:8 - Jayr Pereira, Andre Assumpcao, Julio Trecenti, Luiz Airosa, Caio Lente, Jhonatan Cléto, Guilherme Dobins, Rodrigo Nogueira, Luis Mitchell, Roberto de Alencar Lotufo:
INACIA: Integrating Large Language Models in Brazilian Audit Courts: Opportunities and Challenges. 6:1-6:20 - Jose A. Guridi, Cristobal Cheyre, Maria Goula, Duarte Santo, Lee Humphreys, Achilleas Souras, Aishwarya Shankar:
Image Generative AI to Design Public Spaces: a Reflection of How AI Could Improve Co-Design of Public Parks. 7:1-7:14 - Auriol Degbelo:
Prolegomena to a Description Language for GenAI Tools in Cities. 8:1-8:8 - Mark Howison, William O. Ensor, Suraj Maharjan, Rahil Parikh, Srinivasan H. Sengamedu, Paul Daniels, Amber Gaither, Carrie Yeats, Chandan K. Reddy, Justine S. Hastings:
Extracting Structured Labor Market Information from Job Postings with Generative AI. 9:1-9:12 - Steve Jacob:
Artificial Intelligence and the Future of Evaluation: From Augmented to Automated Evaluation. 10:1-10:10 - Kokil Jaidka, Tsuhan Chen, Simon Chesterman, Wynne Hsu, Min-Yen Kan, Mohan S. Kankanhalli, Mong-Li Lee, Gyula Seres, Terence Sim, Araz Taeihagh, Anthony Kum Hoe Tung, Xiaokui Xiao, Audrey Yue:
Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy. 11:1-11:15 - Sophia Cheng:
When Journalism Meets AI: Risk or Opportunity? 12:1-12:12 - Ravinithesh Annapureddy, Alessandro Fornaroli, Daniel Gatica-Perez:
Generative AI Literacy: Twelve Defining Competencies. 13:1-13:21 - Wail Zellagui, Abdessamad Imine, Yamina Tadjeddine:
Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud? 14:1-14:16 - Jayati Dev, Nuray Baltaci Akhuseyinoglu, Golam Kayas, Bahman Rashidi, Vaibhav Garg:
Building Guardrails in AI Systems with Threat Modeling. 15:1-15:18 - Marc T. J. Elliott, Deepak P, Muiris MacCarthaigh:
Evolving Generative AI: Entangling the Accountability Relationship. 16:1-16:13
Volume 6, Number 2, June 2025
- Soon Ae Chun, Beth Simone Noveck:
Introduction to the Special Issue on ChatGPT and other Generative AI Commentaries Part 2: GenAI Augmented Government 4.0. 17:1-17:8 - Irina Zlotnikova, Hlomani Hlomani:
GenAI in the Context of African Universities: A Crisis of Tertiary Education or Its New Dawn? 18:1-18:11 - Lucía Rivadeneira, Daina Bellido De luna, Carla Fernandez:
Exploring the role of ChatGPT in higher education institutions: Where does Latin America stand? 19:1-19:12 - Mehul Mahrishi, Asad Abbas, Mohammad Khubeb Siddiqui:
Global Initiatives Towards Regulatory Frameworks for Artificial Intelligence (AI) in Higher Education. 20:1-20:9 - Norman Jacknis:
Generative AI And New Challenges For Public Leaders: The Implications For Citizen Communications And Foundations Of Government Leadership: The Implications for Citizen Communications and Foundations of Government Leadership. 21:1-21:4 - Raghu Raman, Vinith Kumar Nair, Sofi Dinesh, Ramana Acharyulu:
Comparative Analysis of ChatGPT and Bard in Digital Governance: Accuracy, Adaptability, and Readability Insights. 22:1-22:22 - Fernando Kleiman, Marcelo Mendes Barbosa:
Management and Performance Program Chatbot: A Use Case of Large Language Model in the Federal Public Sector in Brazil. 23:1-23:11 - Nina van Staalduine, Anneke Zuiderwijk:
Exploring the Viability of ChatGPT for Personal Data Anonymization in Government: A Comprehensive Analysis of Possibilities, Risks, and Ethical Implications. 24:1-24:15 - Björn Lundell, Mathias Lindroth, Jonas Gamalielsson, Andrew Katz, Christoffer Brax, Tomas Persson, Anders Mattsson, Tomas Gustavsson, Jonas Feist, Jonas Öberg:
Half a Step Behind - Bulk Disclosure of Confidential Data in Third-party GenAI Solutions under the Swedish Public Access to Information and Secrecy Act. 25:1-25:9 - Hongzhou Zhang, Shaleen Khanal, Araz Taeihagh:
Public-Private Powerplays in Generative AI Era: Balancing Big Tech Regulation Amidst Global AI Race. 26:1-26:11 - Jörn von Lucke, Sander Frank:
A few Thoughts on the Use of ChatGPT, GPT 3.5, GPT-4 and LLMs in Parliaments: Reflecting on the results of experimenting with LLMs in the parliamentarian context. 27:1-27:21 - Daniel E. O'Leary:
Using Large Language Models for Armchair Auditors. 28:1-28:13 - Jieshu Wang, Elif Kiran, S. R. Aurora, Michael Simeone, José Lobo:
ChatGPT on ChatGPT: An Exploratory Analysis of its Performance in the Public Sector Workplace. 29:1-29:28 - Daniel Braun:
Why "Artificial Intelligence" Should Not Be Regulated. 30:1-30:16 - Paul Formosa, Bhanuraj Kashyap, Siavosh Sahebi:
Generative AI and the Future of Democratic Citizenship. 31:1-31:10
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