Publication date: March/April 2025
Artificial intelligence (AI)-based intelligent and autonomous systems are transforming human lives in unprecedented ways. As AI technology proliferates our society, national and local governments play a key role in enabling its widespread deployment towards improving the quality of human life, as well as in developing and shaping AI policy towards the betterment of human society. Government AI projects present some unique challenges including deploying to large population scales at national and/or regional levels, ensuring fair and responsible use of the technology, guaranteeing accessibility across different economic, demographic and socio-cultural levels, and providing methods to transparently measure and report to the public metrics related to the technology’s accountability, adoption and impact. The research methods and techniques developed in academia and industry, which form the underlying technology in many government projects, are usually not designed with many of these factors in mind. They then have to be rebuilt or redesigned before being integrated in government systems and applications. This technology ‘gap’ often culminates in significant challenges such as over-budgeted government expenses, extended project timelines, and poorly designed end-products that might not align with the project goals. Our special issue aims to bridge this technology gap through articles that describe challenges, experiences, success stories and lessons learned from the planning, design, implementation, evaluation and/or deployment of AI-based government projects. We envisage that these discussions will inform researchers with best practices for developing technologies that are relevant to, and well aligned with the needs of government projects.
Topics of interest include:
Please visit the author information for more submission criteria. Please submit papers through the ScholarOne system and be sure to select the special issue or special section name. Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the ScholarOne portal. If requested, abstracts should be sent by email to the guest editors directly.
Contact the lead guest editor at prithviraj.dasgupta@nrl.