[AISWorld] HICSS 2024 CFP: AI in Government Minitrack

[Liu, Dapeng]

Colleagues,

Please consider submitting to the Hawaii International Conference on System Sciences (HICSS)-57 AI in Government minitrack in the Digital Government track. Feel free to share the call with other colleagues who may be interested. The details are provided below:

HICSS-57-AI in Government Minitrack: https://hicss.hawaii.edu/tracks-57/digital-government/#ai-in-government-minitrack
Minitrack: AI in Government
Track: Digital Government

Minitrack Description:

The use of artificial intelligence (AI) in government reflects the growth in the use of AI in the economy and in society generally. It is being driven, on the one side, by technical advances in a number of areas such as machine learning, neural nets and deep learning and, on the other, by economic forces as many governments continue to try to provide more services with fewer resources. AI offers enormous potential to boost efficiency and improve decision-making by processing large amounts of data and information that can help to, for example, identify welfare beneficiaries, combat fraud, and not only deliver better public services but reduce the cost of delivering personalized and customized services to citizens. However, along with benefits, AI may pose risks to individuals, organizations, and society as a whole. For example, machines are not accountable and there are opaque and proprietary software tools working outside the scope of meaningful scrutiny and accountability (the so-called “black boxes”) already being used to make decisions that can have fundamental effects on the lives of ordinary citizens. While many government agencies identify AI as a priority, the successful diffusion of this innovation has not been realized on a large scale.

The focus of this minitrack will be on both current uses and potential uses of AI in government. We invite contributions on the adoption and implementation of AI in public organizations, benefits and risks, as well as on the control, regulation, and governance of this technology. While we envisage papers in this minitrack being on the use of AI primarily in public administration, we will also welcome papers in areas and on topics within the wider public sector, including policing and health (although we will not consider papers related to AI in national security and the military).  We welcome submissions with diverse views and methodologies. The goal of this minitrack is to promote critical discussion on the current status and future trajectory AI in government.

Among the dimensions of AI in government that might be addressed are:
* The implementation of AI as a public management task
* The ethics and risk governance of AI and algorithms in public management implementation
* Linking AI implementation, evaluation and the political agenda
* The behavioral impacts of AI – e.g., on motivation, trust, etc.
* Comparative studies across different public service fields
* The role of organizational and/or institutional factors in the implementation of AI
* Ensuring the legitimacy of AI implementation
* Transparency and accountability of algorithm use
* The tensions between the legitimacy of algorithmic decisions used in frontline service delivery and the discretion of street-level bureaucrats when employing, assessing, or overriding automated decisions
* Governance of AI
* Determinants of AI adoption
* Challenges of AI implementation
* AI and digital government design


Minitrack Co-Chairs:

Dapeng Liu (Primary Contact)
Baylor University
dapeng_liu at baylor.edu

Mila Gascó-Hernández
Center for Technology in Government, University at Albany – SUNY
mgasco at albany.edu

Lemuria Carter
University of New South Wales
Lemuria.Carter at unsw.edu.au


Important Dates for Paper Submission:

Jun 15, 2023        Deadline for Submission of full manuscripts (11:59 pm HST)
Aug 17, 2023       Notification of Acceptance/Rejection
Sep 4, 2023          Deadline for authors whose papers are conditionally accepted to submit a revised manuscript
Sep 22, 2023        Deadline for the Final Manuscript
Oct 1, 2023          Deadline for at least one author to register


More information is available via below the links:

About the conference (https://hicss.hawaii.edu/)
The Digital Government track (https://hicss.hawaii.edu/tracks-57/digital-government/)
AI in Government minitrack (https://hicss.hawaii.edu/tracks-57/digital-government/#ai-in-government-minitrack)
Author’s instructions (https://hicss.hawaii.edu/authors/).


Warm regards,
Dapeng Liu | Ph.D. | Assistant Professor
Information Systems & Business Analytics
Hankamer School of Business
Baylor University
One Bear Place #98005
Waco, TX 76706
Email: dapeng_liu at baylor.edu