CFP AMCIS 2025 Mini-Track: AI-Powered Digital Humans: Applications, Impacts and Challenges

One-Ki Lee leeo at vcu.edu
Wed Jan 29 12:56:19 EST 2025


CALL FOR PAPERS AMCIS 2025

Mini-Track "AI-Powered Digital Humans: Applications, Impacts and
Challenges”

August 14 - 16, 2025 (https://amcis2025.aisconferences.org/)

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TRACK DESCRIPTION


The advancement of AI technologies has progressed from enhancing human
cognition to playing a crucial role in creating digital humans that
replicate human intelligence and appearance, i.e., AI-powered digital
humans. They have become integrated into daily life, with interactions
increasingly resembling those with real people. These AI digital humans,
designed with realistic human-looking appearances (form realism) and
intelligent behaviors (behavioral realism) in both real and virtual
environments and imbued with intelligence, have significantly enhanced user
experience in various industrial and service settings, such as news media
(e.g., AI news anchors), customer services (e.g., AI robo advisors), and
entertainments (e.g., AI singers). They enable users to more easily access
human-based services and engage in more personalized interactions not only
with machines and technological systems but also with other human beings.
Notably, the interactions with AI-powered digital humans occur in
real-time, facilitating the efficient handling of large volumes of data and
diverse computational tasks almost instantly through immediate learning
processes.


AI algorithms and machine learning techniques are now widely used across
industries to support autonomous AI applications and digital
representations such as digital humans. This shift represents a fundamental
change in how digital entities are created, applied, and consumed, and also
in how audiences engage with them. The objective of this mini-track is to
explore the convergence of AI-powered digital humans in various settings,
the dynamic interactions between humans and AI-powered digital humans, and
their social and industrial effects, with a focus on the potential,
challenges, and implications of this intersection.



TOPICS OF INTEREST



The minitrack appreciates research on various topics, including: 1)
behavioral and perceptual issues concerning AI-powered digital humans, 2)
enabling or hindering factors of emerging technologies in creating
 services and practices involving AI digital humans, and 3) ethical, legal,
and potential negative aspects of AI-powered digital humans. Example topics
for this mini-track include but are not limited to the following:



   - Analyzing how AI-powered digital humans influence user or customer
   engagement
   - Investigating psychological and social impacts of AI-powered digital
   humans
   - Exploring how companies utilize AI-powered digital humans
   - Proposing design principles of AI-powered digital humans in various
   settings
   - Investigating how the integration of AI-powered digital humans into
   teams impact idea generation processes
   - Finding in what ways the presence of AI-powered digital humans within
   a team influences the organizational decision-making and communication
   practices
   - Conceptualizing what organizational or market changes are necessary to
   accommodate and optimize human-AI collaborative efforts.
   - Addressing ethical and legal concerns related to AI-powered digital
   humans
   - Examining the cultural and artistic importance of AI-powered digital
   human expression
   - Studying the application of advanced AI technologies like deep
   learning, reinforcement learning, and natural language processing in
   modeling realistic human behavior in digital humans
   - Exploring the negative aspects of interacting with AI-powered digital
   humans, such as deepfakes, forgery, and identity theft



The mini-track welcomes diverse research approaches, including conceptual,
qualitative, quantitative, design-science, and mixed-methods.



Mini-Track Co-Chairs

One-Ki Daniel Lee, Virginia Commonwealth University (leeo at vcu.edu)

Soo Il Shin, Kennesaw State University (sshin12 at kennesaw.edu)

Jin Sik Kim, The University of Tennessee at Chattanooga (jinsik-kim at utc.edu)

Haejung Yun, Ewha Womans University (yunhj at ewha.ac.kr)

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