SIG AI at AMCIS 2025
Track on Artificial Intelligence and Autonomous Applications
Track Chairs:
Track Description:
The Artificial Intelligence and Autonomous Applications track features research on a wide range of topics related to artificial intelligence (AI) and machine learning (ML) algorithms, including novel applications of algorithms (e.g., recommendation systems, information security analytics, healthcare, etc.), emerging types of AI agents (e.g., conversational agents, digital humans, etc.), and socio-economic aspects of AI and algorithms (e.g., ethical AI, biases in data and algorithms, impact on jobs, regulations, etc.). The track welcomes all research methods, including design science, behavioral, and economics.
Minitracks:
The Application of Generative AI in Higher Education
Generative AI (GAI) is revolutionizing higher education information systems, transforming teaching, learning, research, and administration. This mini track explores cutting-edge applications of GAI in academic environments, including personalized learning experiences, AI counseling, AI assistants, enhanced research methodologies, and integration with existing educational technologies. We also seek papers examining the ethical considerations, socioeconomic implications, impact on faculty roles and curriculum design resulting from GAI adoption, and analysis of educational data and student performance using GAI-driven tools for enhanced learning outcomes and decision-making. Additionally, we welcome research on preparing students for a GAI-driven workforce and mitigating potential biases in AI systems. The mini track encourages diverse research methods, from design science to empirical studies and critical analyses, to provide a comprehensive understanding of how GAI is reshaping higher education and influencing the future of academia.
Yun Wan, University of Houston – Victoria, wany@uhv.edu
Xiwei Wang, Northeastern Illinois University, xwang9@neiu.edu
Conversational Agents and the Future of Work
Conversational AI agents, powered by technologies such as generative AI, are transforming how work is performed in organizations. Once limited to handling routine tasks, these systems are now being integrated into more complex, high-value activities that require creativity, decision-making, and strategic input. This evolution is reshaping the dynamics of human-AI collaboration, presenting new challenges and opportunities for organizations and teams.
This minitrack invites submissions that explore the integration of generative AI into more sophisticated tasks, examining its impact on collaboration, decision-making, and the future of work. We encourage research using methodologies such as design science, empirical studies, action research, and case studies, focusing on the behavioral, cognitive, and organizational implications of human-AI interaction. The goal is to shed light on the evolving role of AI agents in shaping workplace dynamics, shared autonomy, and joint value creation in increasingly complex work environments.
Dominik Siemon, LUT University, dominik.siemon@lut.fi
Edona Elshan, Vrije University Amsterdam, e.elshan@vu.nl
Bijan Khosrawi-Rad, Technische Universität Braunschweig, b.khosrawi-rad@tu-braunschweig.de
AI, Emotions and Empathy
AI-enabled technologies have been permeating human lives and societies at a growing rate over the last three decades. They started at the mechanical task levels (e.g., manufacturing robots) and slowly made their way into analytical tasks (e.g., personal assistants, traders, schedulers, etc.). However, these technologies are still finding their way into the realm of human emotion and empathy. This next wave (known under various banners, including feeling AI, empathic AI, emotional AI, and empathetic AI) is expected to be the next frontier in AI development and deployment. Additionally, the role of emotions and empathy in human-technology interaction is a growing research area within the IS discipline. Accordingly, this forward-looking mini-track welcomes all kinds of theoretical and empirical research at the intersection of human emotions, empathy, and AI.
Reza Vaezi, Kennesaw State University, svaezi@kennesaw.edu
Maryam Ghasemaghaei, McMaster University, ghasemm@mcmaster.ca
Mohsen Jozani, Augusta University, mjozani@augusta.edu
AI-powered Digital Humans: Applications, Impacts and Challenges
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 digital entities, designed to appear and behave realistically in virtual and real environments, provide more accessible, personalized, real-time service experiences in various settings. This mini-track aims to explore the convergence of AI technologies, digital humans, and human-AI interactions, focusing on their potential, challenges, and implications.
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 potentially negative aspects of AI-powered digital humans. The mini-track welcomes diverse research approaches, including conceptual, qualitative, quantitative, design-science, and mixed-methods.
One-Ki Daniel Lee, Virginia Commonwealth University, leeo@vcu.edu
Soo Il Shin, Kennesaw State University, sshin12@kennesaw.edu
Jin Sik Kim, Gary W. Rollins College of Business, The University of Tennessee at Chattanooga, jinsik-kim@utc.edu
Haejung Yun, Ewha Womans University, yunhj@ewha.ac.kr