AMCIS 2025 CFP: Track: Artificial Intelligence and Semantic Technologies for Intelligent Information Systems (SIG ODIS)

[Vijayan Sugumaran]

Call for Papers

AMCIS 2025 – Intelligent Technologies for a Better Future

August 14–16, 2025 | Montréal, Canada

https://amcis2025.aisconferences.org



Key Dates

Submissions Open: January 5, 2025

Submission Deadline: February 28, 2025 (5:00 PM ET)

Author Notification: April 14, 2025

Final Submission Deadline: April 24, 2025



Track: Artificial Intelligence and Semantic Technologies for Intelligent
Information Systems (SIG ODIS)



Track Chair

•  Vijayan Sugumaran, Oakland University, sugumara at oakland.edu



Track Description

The purpose of this track is to provide a forum for academics and
practitioners to identify and explore the issues, opportunities, and
solutions using Artificial Intelligence, computational ontologies, data
driven IS, and intelligence related to business and systems including the
social web, intelligent systems design, implementation, integration and
deployment. An increasing number of artificial intelligence-based systems
are being developed in different application domains employing a variety of
tools and technologies. This track is intended to increase
cross-fertilization of ideas from these areas, share lessons learned and
stimulate areas for further research.



Opportunities in Leading Journals

Best papers from this track will be invited to extend the paper and publish
in the special issues from the following journals:

•  International Journal of Intelligent Information Technologies (
http://www.igi-global.com/ijiit)

•  Journal of Web Engineering (
https://journals.riverpublishers.com/index.php/JWE/)



The following mini-tracks are part of this track and authors are encouraged
to submit one or more original research papers to any of the mini-tracks.



1) Mini-track: Social, Ethical, & Practical Impacts of AI for Organizations
and Individuals



AI is an important and increasingly pervasive tool of an industry whose
widespread adoption has given rise to criticisms, such as lack of
transparency of analytical models, lack of explainability of results, and
workforce disruption. This mini-track aims to provide a forum for
addressing the social, ethical, and practical aspects of AI and ML.
Particularly, papers exploring the impact of AI/ML through various analytic
lenses, including societal, organizational, and individual perspectives,
are welcome.



Topics:

•  Behavioural and organizational aspects of AI and ML

•  Automation of work through AI and ML

•  Legal, ethical, and governance issues and biased use of AI/ML

•  Effectiveness, business performance, job displacement, and dark side of
AI/ML

•  Standards and frameworks for AI/ML modelling and implementation

•  Explainable AI

•  AI Adoption diffusion

•  Ethical AI

•  Self-regulation across industries

•  Implicit and explicit bias in AI application

•  Social justice and social inclusion



Mini-track Chairs

•  Sunet Eybers, University of South Africa, eeyberss at unisa.ac.za



2. Mini-track: Promises and Perils in Ethics and Management of Artificial
Intelligence: Disruption, Adoption, Dehumanization, Governance, Risk and
Compliance



In the last decade, Artificial Intelligence (AI) has transitioned from a
peripheral technology to a dominant driver of innovation. It is now
routinely used to recognize images, parse speech, respond to questions,
make decisions, and even replace humans. Generative AI presents exciting
possibilities, from text generation to image synthesis, but it also brings
ethical challenges. Misused generative AI tools can breach privacy,
jeopardize safety, and make unethical decisions. To navigate this landscape
effectively, researchers and practitioners must understand the state of the
art, adoption, and influence of AI and ML, while also addressing the
ethical and governance mechanisms needed to safeguard human well-being.

This mini track focuses on the ethics and management of AI, with a
particular emphasis on adoption, disruption, dehumanization, and
governance, risk, compliance, and the ethical mechanisms required to
protect and enhance human well-being.



Mini-track Chairs

•  Valeria Aleksandra Sadovykh, University of Auckland,
valeriasadovykh at gmail.com

•  David Sundaram, University of Auckland, d.sundaram at auckland.ac.nz

•  Gabrielle Peko, University of Auckland, g.peko at auckland.ac.nz



3. Mini-track: Generative AI - Fundamentals, Applications and Social Impact



The field of Generative AI is developing rapidly and this mini-track
explores the fundamentals and practical applications of Generative AI
across various industries, its profound social impact, and the
considerations that arise from its use. Topics of interest include how
generative models transform domains including creative content creation,
healthcare, and education, while also addressing the societal challenges
and moral dilemmas their application presents. Additionally, this track
critically examines the broader impacts of these technologies on society,
including challenges associated with algorithmic bias, data privacy, and
the inclusion of principled governance frameworks for generative AI
deployment.



Mini-track Chairs

•  Aurona Gerber, Stellenbosch University, aurona.gerber at gmail.com



4. Mini-track: Customer Experience and Organizational Intelligence



Organizations are increasingly engaging with both current and potential
customers across a diverse range of IT-mediated “touch points” including
digital platforms, mobile interfaces, and AI-driven systems. As these touch
points evolve in variety and sophistication, the need for coordinated,
intelligent strategies will shape management thinking in the near and
intermediate future. To remain competitive, organizations must leverage the
latest research and best practices to address critical challenges:
differentiating user experiences across varied interaction points, applying
AI and machine learning to expand consumer reach, improving conversion
rates, nurturing long-term customer loyalty, and effectively managing
global and local user experiences. Central to this effort is a network of
intelligent technologies, devices, and communication systems that
facilitate seamless computing, collaboration, and commerce. By embedding
data, sensors, and controllers into both physical and virtual environments,
organizations can create real-time, personalized interactions that foster
dynamic co-engagement and mutual value for both customers and organizations.



Mini-track Chairs

•  Sowmya Kamath, National Institute of Technology Karnataka, Surathkal,
sowmyakamath at nitk.edu.in

•  Geetha Vasantha, NITK Surathkal, geethav at nitk.edu.in



5. Mini-track: AI/ML Applications in Healthcare



The integration of Artificial Intelligence (AI) and Machine Learning (ML)
in healthcare aims to assist medical professionals, enhance decision-making
in improving diagnostic accuracy, personalize treatment plans, optimize
operations, and predict patient outcomes. This transformation is powered by
advancements in algorithms, the explosion of healthcare data, and increased
computational power.

This mini track offers a platform for researchers to present cutting-edge
AI/ML applications in healthcare, identify research gaps, and propose
future directions. It encourages collaboration between researchers,
practitioners, and industry to advance AI/ML technologies. We seek
original, high-quality papers on the practical and future potential of
AI/ML in transforming healthcare.



Potential topics but not limited to:

•  Predictive Analytics in Patient Outcomes

•  AI in Medical Imaging

•  Personalized Medicine

•  Natural Language Processing (NLP) in healthcare

•  Robotic Surgery and AI

•  AI for Drug Discovery

•  Healthcare Operations Optimization

•  Ethics and Bias in AI Healthcare

•  Data Privacy and Security

•  AI in Chronic Disease Management



Mini-track Chairs

•  Vaishali Kulkarni, Mukesh Patel School of Technology Management &
Engineering, NMIMS University, vaishali.kulkarni at nmims.edu

•  Hima Deepthi Vankayalapati, Mukesh Patel School of Technology Management
and Engineering, himadeepthi.vankayalapati at nmims.edu

6. Mini-track: Interplay and Acceptance of Intelligent Information Systems



In recent years, digital transformation has not only led to increased
acceptance of the use of information technologies but also great
challenges. As a result, new topics and trends emerged to address the
steadily increasing amount of data and its efficient and innovative
exploration. Apart from the main drivers, artificial intelligence and cloud
computing, also concepts like edge computing, big data, microservices, deep
learning, distributed systems as well as composable architectures came into
play. Although these are widely recognized today, their interplay provides
new potentials and reveals novel challenges. Hence, in this mini-track, we
welcome a variety of research approaches related to the investigation of
related topics.



Potential topics:

•  Artificial intelligence and cloud computing

•  Edge computing and big data

•  Microservices and distributed systems

•  Deep learning and intelligent systems

•  Cyber-physical systems

•  Behavioral and managerial aspects of intelligent systems

•  Acceptance and adoption of intelligent systems



Mini-track Chairs

•  Matthias Volk, Otto-von-Guericke University Magdeburg,
matthias.volk at ovgu.de

•  Daniel Staegemann, Otto-von-Guericke University,
daniel.staegemann at ovgu.de



7. Mini-track: Semantics and Ontologies in Information Systems



Research in knowledge graphs, ontology, ontology-driven information systems
and ontology applications is widespread in the information systems
community. Its importance is being recognized in various research fields
and application areas. This mini-track is primarily concerned with the use
and application of ontologies and any semantic languages such as RDF(s) and
OWL, as well as the associated technologies (such as querying, reasoning
and reasoners) within information systems. Within this mini-track, the term
ontology includes artefacts using semantic web languages such as OWL and
RDF(S).



Mini-track Chairs

•  Louise Leenen, University of the Western Cape, lleenen at uwc.ac.za

•  Aurona Gerber, Stellenbosch University, agerber at uwc.ac.za



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Vijayan Sugumaran, Ph.D.

Distinguished University Professor, Management Information Systems

Janke Scholar of Management Information Systems

Chair, Department of Decision and Information Sciences

Co-Director, Institute for Data Science

School of Business Administration

Oakland University

Rochester, MI 48309

Phone: 248-370-4649

Fax: 248-370-4275

Email: sugumara at oakland.edu

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