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--></style></head><body lang="EN-US" link="#0563C1" vlink="#954F72" style="word-wrap:break-word"><div class="WordSection1"><p class="MsoNormal">Call for Papers</p><p class="MsoNormal">AMCIS 2025 – Intelligent Technologies for a Better Future</p><p class="MsoNormal">August 14–16, 2025 | Montréal, Canada</p><p class="MsoNormal"><a href="https://amcis2025.aisconferences.org">https://amcis2025.aisconferences.org</a></p><p class="MsoNormal"> </p><p class="MsoNormal">Key Dates</p><p class="MsoNormal">Submissions Open: January 5, 2025</p><p class="MsoNormal">Submission Deadline: February 28, 2025 (5:00 PM ET)</p><p class="MsoNormal">Author Notification: April 14, 2025</p><p class="MsoNormal">Final Submission Deadline: April 24, 2025</p><p class="MsoNormal"> </p><p class="MsoNormal">Track: Artificial Intelligence and Semantic Technologies for Intelligent Information Systems (SIG ODIS)</p><p class="MsoNormal"> </p><p class="MsoNormal">Track Chair</p><p class="MsoNormal">• Vijayan Sugumaran, Oakland University, <a href="mailto:sugumara@oakland.edu">sugumara@oakland.edu</a> </p><p class="MsoNormal"> </p><p class="MsoNormal">Track Description</p><p class="MsoNormal">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.</p><p class="MsoNormal"> </p><p class="MsoNormal">Opportunities in Leading Journals</p><p class="MsoNormal">Best papers from this track will be invited to extend the paper and publish in the special issues from the following journals:</p><p class="MsoNormal">• International Journal of Intelligent Information Technologies (<a href="http://www.igi-global.com/ijiit">http://www.igi-global.com/ijiit</a>)</p><p class="MsoNormal">• Journal of Web Engineering (<a href="https://journals.riverpublishers.com/index.php/JWE/">https://journals.riverpublishers.com/index.php/JWE/</a>)</p><p class="MsoNormal"> </p><p class="MsoNormal">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.</p><p class="MsoNormal"> </p><p class="MsoNormal">1) Mini-track: Social, Ethical, & Practical Impacts of AI for Organizations and Individuals</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">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.</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Topics:</p><p class="MsoNormal">• Behavioural and organizational aspects of AI and ML</p><p class="MsoNormal">• Automation of work through AI and ML</p><p class="MsoNormal">• Legal, ethical, and governance issues and biased use of AI/ML</p><p class="MsoNormal">• Effectiveness, business performance, job displacement, and dark side of AI/ML</p><p class="MsoNormal">• Standards and frameworks for AI/ML modelling and implementation</p><p class="MsoNormal">• Explainable AI</p><p class="MsoNormal">• AI Adoption diffusion</p><p class="MsoNormal">• Ethical AI</p><p class="MsoNormal">• Self-regulation across industries</p><p class="MsoNormal">• Implicit and explicit bias in AI application</p><p class="MsoNormal">• Social justice and social inclusion</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Mini-track Chairs</p><p class="MsoNormal">• Sunet Eybers, University of South Africa, <a href="mailto:eeyberss@unisa.ac.za">eeyberss@unisa.ac.za</a></p><p class="MsoNormal"> </p><p class="MsoNormal">2. Mini-track: Promises and Perils in Ethics and Management of Artificial Intelligence: Disruption, Adoption, Dehumanization, Governance, Risk and Compliance</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">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.</p><p class="MsoNormal">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.</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Mini-track Chairs</p><p class="MsoNormal">• Valeria Aleksandra Sadovykh, University of Auckland, <a href="mailto:valeriasadovykh@gmail.com">valeriasadovykh@gmail.com</a></p><p class="MsoNormal">• David Sundaram, University of Auckland, <a href="mailto:d.sundaram@auckland.ac.nz">d.sundaram@auckland.ac.nz</a></p><p class="MsoNormal">• Gabrielle Peko, University of Auckland, <a href="mailto:g.peko@auckland.ac.nz">g.peko@auckland.ac.nz</a></p><p class="MsoNormal"> </p><p class="MsoNormal">3. Mini-track: Generative AI - Fundamentals, Applications and Social Impact</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">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.</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Mini-track Chairs</p><p class="MsoNormal">• Aurona Gerber, Stellenbosch University, <a href="mailto:aurona.gerber@gmail.com">aurona.gerber@gmail.com</a></p><p class="MsoNormal"> </p><p class="MsoNormal">4. Mini-track: Customer Experience and Organizational Intelligence</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">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.</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Mini-track Chairs</p><p class="MsoNormal">• Sowmya Kamath, National Institute of Technology Karnataka, Surathkal, <a href="mailto:sowmyakamath@nitk.edu.in">sowmyakamath@nitk.edu.in</a></p><p class="MsoNormal">• Geetha Vasantha, NITK Surathkal, <a href="mailto:geethav@nitk.edu.in">geethav@nitk.edu.in</a></p><p class="MsoNormal"> </p><p class="MsoNormal">5. Mini-track: AI/ML Applications in Healthcare</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">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.</p><p class="MsoNormal">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.</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Potential topics but not limited to:</p><p class="MsoNormal">• Predictive Analytics in Patient Outcomes</p><p class="MsoNormal">• AI in Medical Imaging</p><p class="MsoNormal">• Personalized Medicine</p><p class="MsoNormal">• Natural Language Processing (NLP) in healthcare</p><p class="MsoNormal">• Robotic Surgery and AI</p><p class="MsoNormal">• AI for Drug Discovery</p><p class="MsoNormal">• Healthcare Operations Optimization</p><p class="MsoNormal">• Ethics and Bias in AI Healthcare</p><p class="MsoNormal">• Data Privacy and Security</p><p class="MsoNormal">• AI in Chronic Disease Management</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Mini-track Chairs</p><p class="MsoNormal">• Vaishali Kulkarni, Mukesh Patel School of Technology Management & Engineering, NMIMS University, <a href="mailto:vaishali.kulkarni@nmims.edu">vaishali.kulkarni@nmims.edu</a> </p><p class="MsoNormal">• Hima Deepthi Vankayalapati, Mukesh Patel School of Technology Management and Engineering, <a href="mailto:himadeepthi.vankayalapati@nmims.edu">himadeepthi.vankayalapati@nmims.edu</a></p><p class="MsoNormal"> </p><p class="MsoNormal">6. Mini-track: Interplay and Acceptance of Intelligent Information Systems</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">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.</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Potential topics:</p><p class="MsoNormal">• Artificial intelligence and cloud computing</p><p class="MsoNormal">• Edge computing and big data</p><p class="MsoNormal">• Microservices and distributed systems</p><p class="MsoNormal">• Deep learning and intelligent systems</p><p class="MsoNormal">• Cyber-physical systems</p><p class="MsoNormal">• Behavioral and managerial aspects of intelligent systems</p><p class="MsoNormal">• Acceptance and adoption of intelligent systems</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Mini-track Chairs</p><p class="MsoNormal">• Matthias Volk, Otto-von-Guericke University Magdeburg, <a href="mailto:matthias.volk@ovgu.de">matthias.volk@ovgu.de</a></p><p class="MsoNormal">• Daniel Staegemann, Otto-von-Guericke University, <a href="mailto:daniel.staegemann@ovgu.de">daniel.staegemann@ovgu.de</a></p><p class="MsoNormal"> </p><p class="MsoNormal">7. Mini-track: Semantics and Ontologies in Information Systems</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">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).</p><p class="MsoNormal"><span style="font-size:5.0pt"> </span></p><p class="MsoNormal">Mini-track Chairs</p><p class="MsoNormal">• Louise Leenen, University of the Western Cape, <a href="mailto:lleenen@uwc.ac.za">lleenen@uwc.ac.za</a></p><p class="MsoNormal">• Aurona Gerber, Stellenbosch University, <a href="mailto:agerber@uwc.ac.za">agerber@uwc.ac.za</a></p><p class="MsoNormal"> </p><p class="MsoNormal">==========================================================</p><p class="MsoNormal">Vijayan Sugumaran, Ph.D.</p><p class="MsoNormal">Distinguished University Professor, Management Information Systems</p><p class="MsoNormal">Janke Scholar of Management Information Systems</p><p class="MsoNormal">Chair, Department of Decision and Information Sciences</p><p class="MsoNormal">Co-Director, Institute for Data Science</p><p class="MsoNormal">School of Business Administration</p><p class="MsoNormal">Oakland University</p><p class="MsoNormal">Rochester, MI 48309</p><p class="MsoNormal">Phone: 248-370-4649</p><p class="MsoNormal">Fax: 248-370-4275</p><p class="MsoNormal">Email: <a href="mailto:sugumara@oakland.edu">sugumara@oakland.edu</a></p><p class="MsoNormal">==========================================================</p><p class="MsoNormal"> </p></div></body></html>