[AISWorld] Call for Papers: Special Issue on Human-Centered Generative AI

Yogesh K. Dwivedi ykdwivedi at gmail.com
Wed Nov 1 10:00:12 EDT 2023 

*Call for Papers: Special Issue on Human-Centered Generative AI*
Journal: International Journal of Information Management
CFP Link:
https://www.sciencedirect.com/journal/international-journal-of-information-management/about/call-for-papers#human-centered-generative-ai

*Guest editors:*
Ilias Pappas, University of Agder and Norwegian University of Science and
Technology, Norway
Stan Karanasios, University of Queensland, Australia
Bonnie Nardi, University of California Irvine, USA
Lionel Robert, University of Michigan, USA
Manuscript submission information:

*Overview: *
The rapid advancement of Generative Artificial Intelligence (GAI) has
opened up a plethora of possibilities for how we live, work and learn
(Brynjolfsson et al., 2023; Dwivedi et al., 2023a; Nah et al., 2023). GAI
are a class of algorithms capable of generating new content. Based on
questions and prompts GAI tools can generate text, code (e.g. ChatGPT) or
images (e.g., MidJourney). Other GAIs specialize in producing audio and
video (e.g., Synthesia). The quality of the output, and the widespread
availability of these tools, was unimaginable only a few years ago.

On the one hand, these developments have spurred a range of innovations,
business opportunities and efficiencies (Gartner, 2023), drawing
researchers to study its role and impact on business, society, and
individuals (Budhwar et al., 2023; Dwivedi et al., 2023b; Richey et al.,
2023; Susarla et al., 2023; Van Dis et al., 2023; Wamba et al., 2023). On
the other hand, their accelerated pace of development has made it difficult
for business and society to adapt, leading to uncertainty and unanticipated
dilemmas. These include concerns around the misuse of GAI, issues with data
privacy, overreliance on GAI content as fact and the challenges associated
with verifying GAI content, as well as the inherent biases and
“hallucinations” of such systems (Ji et al., 2023; Mukherjee and Chang,
2023). More broadly, there are significant concerns about the impact of GAI
on job displacement and the potential for exacerbating divides between
people who can make use of the technology and those who cannot.

Theorizing these technology-related opportunities and tensions is at the
very core of Information Systems scholarship. It comes as no surprise then
that there are calls for more research on challenges and opportunities and
understanding how it creates new forms of value.

The goal of this special issue to emphasize Human-Centered AI (HCAI)
approaches that prioritize human values, needs, and abilities throughout
the design, development, deployment and situated use of GAI. HCAI refers to
the prospect in which the digital technologies that tremendously amplify
human abilities, also empower people in remarkable ways while ensuring
human control (Shneiderman, 2020). HCAI can be seen as a two-dimensional
framework of automation and control. It has evolved into an approach that
combines AI-based algorithms with human-centered design thinking, and
influences methods, processes, and outcomes. Capel and Brereton (2023)
provide a mapping of the literature in HCAI, highlighting among others,
Shneiderman’s work, which, has been the foundation for many studies that
take an HCAI perspective. Based on their review, they define HCAI as:

Human-Centered Artificial Intelligence utilizes data to empower and enable
its human users, while revealing its underlying values, biases,
limitations, and the ethics of its data gathering and algorithms to foster
ethical, interactive, and contestable use (Capel and Brereton 2023).

This special issues recognizes that a human centred mindset is crucial for
the responsible design, development, and deployment of AI (Vassilakopoulou
et al., 2022). GAI can have a dual role, sometimes being part of the
problem or facilitating solutions to existing problems (Veit and Thatcher,
2023; Pappas et al., 2023). As HCAI puts humans at the center, it
emphasizes that the next frontier of AI is not just technological but also
humanistic and ethical (Stahl & Eke, 2024). This ensures that the GAI
models developed and deployed are designed with human values, ethics, and
user experience in mind, and that they are used in ways that are socially
beneficial and responsible. This involves considering the implications of
the technology from multiple perspectives, including the user, the
developer, and society as a whole. Placing humans at the center allows the
creation of AI systems that are more inclusive, trustworthy, and aligned
with human values and goals (Schoenherr et al., 2023; Shneiderman, 2020).
For research, studying or advancing human-centred GAI ensures that IS
research has societal impact, is relevant and meaningful (Burton-Jones et
al., 2023; Karanasios, 2022; Majchrzak et al., 2014). Given the nascent
stage of GAI in practice, promoting a human-centered approach to GAI allows
for IS research to go beyond postliminary institutionalization of
technology. Rather it encourages a proactive exploration of the theoretical
understanding how to ‘do’ human-centered GAI and its practical applications
and benefits.

We invite researchers, practitioners, and policymakers to submit their
articles for a special issue dedicated to exploring the opportunities,
challenges, and implications of human-centered GAI. Topics of interest
include, but are not limited to, human-centered GAI situated in use as well
as GAI under design, ethical considerations, data protection and privacy,
content moderation, and the development of policies and frameworks for
human-centered GAI.

   - Designing GAI systems for a positive user experience: What are the
   principles and best practices for creating generative models that are
   user-friendly, accessible, and beneficial?
   - The role of human-centered design in preventing misuse of GAI: How can
   a human-centered approach help to prevent the creation and propagation of
   harmful or misleading content?
   - Ensuring inclusivity in human-centered GAI: How can we ensure that
   these systems are designed to be inclusive and equitable for users from
   diverse backgrounds and abilities?
   - The impact of human-centered GAI on content creation and consumption:
   How will these systems transform the way we create and consume content, and
   what are the implications for industries such as media, entertainment, and
   marketing?
   - The role of user feedback and control in human-centered GAI systems:
   How can we give users more control over the content generated by AI, and
   how can user feedback be used to improve these systems?
   - Regulatory considerations for human-centered GAI: Regulatory
   challenges associated with the development and deployment of these systems,
   and how can they be addressed?
   - The future of Human-Computer Interaction (HCI) with GAI: How can
   human-centered GAI transform the way we interact with computers and other
   digital devices?
   - Ethical considerations in the development and deployment of
   human-centered AI systems: How can we ensure that these systems respect
   human values, privacy, and autonomy?
   - Developing new theories or enhancing existing theoretical frameworks:
   How humans interact with Generative Artificial Intelligence.

Manuscripts should be submitted online at
https://www.editorialmanager.com/jjim/default2.aspx

Submissions may follow the author guidelines of International Journal of
Information Management:
https://www.elsevier.com/journals/international-journal-
of-information-management/0268-4012/guide-for-authors

Please select “VSI: Human-Centered GAI” when submitting your manuscript to
this special issue and indicate the actual article type in the cover letter.

*Important Dates: *
Initial paper submission deadline: October 30th, 2024
First round authors notification: December 2024
Invited revisions deadline: March 2025
Second round authors notification: May 2025
Final revision deadline: July 2025
Final authors notification: September 2025


References:
Brynjolfsson, E., Li, D., & Raymond, L. R. (2023). Generative AI at work
(No. w31161). National Bureau of Economic Research.
Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran,
J. R., Boselie, P., Cooke, F. L., Decker, S., DeNisi, A., Dey, P. K.,
Guest, D., Knoblich, A. J., Malik, A., Paauwe, J., Papagiannidis, S.,
Patel, C., Pereira, V., Ren, S., … Varma, A. (2023). Human resource
management in the age of generative artificial intelligence: Perspectives
and research directions on ChatGPT. Human Resource Management Journal,
33(3), 606–659.
Burton-Jones, A., Gray, P., & Majchrzak, A. (2023). Producing Significant
Research. MIS Quarterly, 47(1), iii-x.
Capel, T., & Brereton, M. (2023). What is Human-Centered about
Human-Centered AI? A Map of the Research Landscape. In Proceedings of the
2023 CHI Conference on Human Factors in Computing Systems (pp. 1-23).
Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A.
K., ... & Wright, R. (2023a). “So what if ChatGPT wrote it?”
Multidisciplinary perspectives on opportunities, challenges and
implications of generative conversational AI for research, practice and
policy. International Journal of Information Management, 71, 102642.
Dwivedi, Y. K., Pandey, N., Currie, W., & Micu, A. (2023b). Leveraging
ChatGPT and other generative artificial intelligence (AI)-based
applications in the hospitality and tourism industry: Practices,
challenges, and research agenda. International Journal of Contemporary
Hospitality Management. https://doi.org/10.1108/IJCHM-05-2023-0686
Fui-Hoon Nah, F., Zheng, R., Cai, J., Siau, K., & Chen, L. (2023).
Generative AI and ChatGPT: Applications, challenges, and AI-human
collaboration. Journal of Information Technology Case and Application
Research, 1-28.
Gartner (2023). Gartner Places Generative AI on the Peak of Inflated
Expectations on the 2023 Hype Cycle for Emerging Technologies. Accessed on
13/09/2023
https://www.gartner.com/en/newsroom/press-releases/2023-08-16-gartner-places-generative-ai-on-the-peak-of-inflated-expectations-on-the-2023-hype-cycle-for-emerging-technologies
Ji, Z., Lee, N., Frieske, R., Yu, T., Su, D., Xu, Y., ... & Fung, P.
(2023). Survey of hallucination in natural language generation. ACM
Computing Surveys, 55(12), 1-38.
Karanasios, S. (2022). The Pursuit of Relevance and Impact: A Review of the
Immediate Response of the Information Systems Field to Covid-19.
Information Systems Journal, 32(4), 856–887.
Majchrzak, A., Markus, M. L., & Wareham, J. (2014). ICT and Societal
Challenges. MIS Quarterly Call for Papers, 1-3.
Mukherjee, A., & Chang, H. (2023). Managing the Creative Frontier of
Generative AI: The Novelty-Usefulness Tradeoff. California Management
Review.
Pappas, I. O., Mikalef, P., Dwivedi, Y. K., Jaccheri, L., & Krogstie, J.
(2023). Responsible Digital Transformation for a Sustainable Society.
Information Systems Frontiers, 25, 945–953.
Richey Jr, R. G., Chowdhury, S., Davis‐Sramek, B., Giannakis, M., &
Dwivedi, Y. K. Artificial intelligence in logistics and supply chain
management: A primer and roadmap for research. Journal of Business
Logistics, https://doi.org/10.1111/jbl.12364
Shneiderman, B. (2022). Human-centered AI. Oxford University Press.
Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable,
safe & trustworthy. International Journal of Human–Computer Interaction,
36(6), (pp. 495-504).
Susarla, A., Gopal, R., Thatcher, J. B., & Sarker, S. (2023). The Janus
Effect of Generative AI: Charting the Path for Responsible Conduct of
Scholarly Activities in Information Systems. Information Systems Research.
Stahl, B. C., & Eke, D. (2024). The ethics of ChatGPT–Exploring the ethical
issues of an emerging technology. International Journal of Information
Management, 74, 102700.
Van Dis, E. A., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L.
(2023). ChatGPT: five priorities for research. Nature, 614(7947), 224-226.
Vassilakopoulou, P., Parmiggiani, E., Shollo, A., & Grisot, M. (2022).
Responsible AI: Concepts, critical perspectives and an Information Systems
research agenda. Scandinavian Journal of Information Systems, 34(2), 3.
Veit, D. J., & Thatcher, J. B. (2023). Digitalization as a problem or
solution? Charting the path for research on sustainable information
systems. Journal of Business Economics, 1-23.
Wamba, S. F., Queiroz, M. M., Jabbour, C. J. C., & Shi, C. V. (2023). Are
both generative AI and ChatGPT game changers for 21st-Century operations
and supply chain excellence?. International Journal of Production
Economics, 109015.
---------------
Professor Yogesh K. Dwivedi, PhD
Professor of Digital Marketing and Innovation
School of Management, Room #323
Swansea University, Bay Campus
Fabian Bay, Swansea, SA1 8EN, Wales, UK.
TEL (Office): +44 (0) 1792 602340
Email: y.k.dwivedi at swansea.ac.uk ; ykdwivedi at gmail.com
Home Page:http://www.swansea.ac.uk/staff/som/academic-staff/y.k.dwivedi/

Distinguished Research Professor, Symbiosis Institute of Business
Management, Pune & Symbiosis International (Deemed University), Pune,India
LinkedIn <https://www.linkedin.com/in/professor-yogesh-k-dwivedi-6a477a4/>;
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<https://www.researchgate.net/profile/Yogesh-Dwivedi-2>; Publons
<https://publons.com/researcher/2894458/yogesh-kumar-dwivedi/>
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