[AISWorld] Call for papers for the Special Issue of DSS on Generative AI: Transforming Human, Business, and Organizational Decision Making

[Dongsong Zhang]

Call for papers for the special issue of Decision Support Systems
*Generative AI: Transforming Human, Business, and Organizational Decision
Making*
*URL: www.sciencedirect.com/journal/decision-support-systems/about/call-for-papers
<http://www.sciencedirect.com/journal/decision-support-systems/about/call-for-papers>*

*Guest Editors:*

*Dr. Dongsong Zhang,* University of North Carolina at Charlotte, USA.
dzhang15 at charlotte.edu

*Dr. Pallab Sanyal,* Costello College of Business, George Mason University,
USA. psanyal at gmu.edu

*Dr. Fiona Fui-Hoon Nah,* City University of Hong Kong, Hong Kong SAR.
fiona.nah at cityu.edu.hk

*Dr. Raghava Mukkamala, *Copenhagen Business School, Denmark.
raghava.mukkamala at cbs.dk

*Special issue information:*

Generative Artificial Intelligence (GenAI) represents the next level of
machine learning by going beyond recognizing patterns and making inferences
to generating new content that mimics the training data of a variety of
forms including text, audio, image, video, music, artwork, simulation, and
even programming codes [1,5,9]. Hence, GenAI uses algorithms to enable
users to generate new content based on a variety of inputs (prompts) that
can be in multiple forms such as text, audio, image, video, and musical
notes [4]. Given that prompts serve as the bridge between human intent and
machine understanding, the ability to generate and use effective prompts
has become an essential skill for users to maximize the outcomes of the
human-GenAI interaction.

The rapid rise of GenAI technologies has raised both unprecedented
opportunities and challenges to human, business, and organizational
decision making for the future of work [4,7]. The impact of GenAI models,
such as ChatGPT, is far-reaching, and its applications keep growing,
ranging from large language models (LLMs) to learning from available data
to predict the response of a target group to advertisements and marketing
campaigns to creating new advertisements and marketing campaigns for
specific target groups, and from generating a travel itinerary to clinical
decision support in screening, prevention, and treatment [3]. Gartner
identified GenAI as one of the most impactful and rapidly evolving
technologies in the productivity revolution in its report on Emerging
Technologies and Trends Impact Radar for 2022 [6]. The Gartner report also
predicts that by 2026, more than 90% of IT operations management vendors
will have embedded GenAI capabilities in their products and/or services, up
from less than 5% in 2023. On the one hand, GenAI tools or systems have the
potential to transform the way people learn, create multimedia content,
perform tasks, and make decisions [2]. They can help simplify
organizational tasks and operations with efficiency across a variety of use
cases. On the other hand, the newfound capability of GenAI also raises
risks and concerns about misinformation, plagiarism, copyright
infringements, harmful or offensive content, biases, deepfakes, etc. that
may result in significant negative impact on individuals, organizations,
and society at large [1,4,5,8]. Hence, responsible, trustworthy, and
ethical GenAI regulation and content moderation need to be in place.

GenAI can transform or revolutionize decision making in a variety of ways.
For example, the predictive and generative prowess of GenAI enables not
only more accurate forecasts but also accelerates data-driven design and
decision making based on trends and discoveries from large datasets. GenAI
can help generate innovative solutions to problems and organizational
designs that are too complex for traditional analytical methods and reduce
repetitive manual processes by automating content creation tasks to enable
real-time, on-the-fly decision making that can produce remarkable outcomes.

*Themes of the Special Issue*

This special issue aims to curate and present state-of-the-art theoretical,
technical, behavioral, and organizational research on GenAI in support of
decision making and problem solving. We welcome original research that
focuses on a variety of topics and themes, including, but not limited to:

   - Automatic detection of content produced by GenAI technologies
   - Techniques and tools to differentiate human- vs. GenAI-generated
   content
   - The impact of GenAI on decision support process and outcomes
   - Human-GenAI co-creation
   - Human-GenAI collaboration and interaction
   - Quality and speed of decision making facilitated by GenAI models
   - Impact of GenAI applications in organizations and society
   - Best practices in prompt engineering
   - Dark sides of GenAI
   - Responsible, trustworthy, and ethical GenAI
   - Regulation and data protection associated with GenAI
   - Prompt-injection attacks and security of GenAI models

*Manuscript submission information:*

*Important Due Dates:*

Submission start date: May 1, 2024

Submission deadline: November 30, 2024

*Submission Formatting*:

All the submissions must follow the general author guidelines of *Decision
Support Systems* available here
<https://www.elsevier.com/journals/decision-support-systems/0167-9236/guide-for-authors>.
Please
submit your paper to the Special Issue category (*VSI: Generative AI*)
through the online submission system
<https://www.editorialmanager.com/decsup/default2.aspx> of *Decision
Support Systems*. Each paper submitted to the SI would undergo 2 or 3
rounds of double-blind peer review by 2-3


Dongsong Zhang, Ph.D.
Belk Endowed Chair Professor in Business Analytics
Department of Business Information Systems and Operations Management
Belk College of Business
Director of Research, School of Data Science
Professor, Department of Computer Science (Courtesy)
The University of North Carolina at Charlotte
9201 University City Blvd, Charlotte, NC 28223-0001
Tel.: (704)6871893
https://belkcollegeofbusiness.uncc.edu/dzhang15/