The evolutionary development of AI is recognized as a transformative yet contentious force. Effectively harnessing AI presents a significant challenge due to the complex interplay between human agents and technological advancements. In this track, rather than seeking a definitive answer on AI’s future trajectory, we aim to integrate AI into mainstream Information Systems (IS) discussions. Key areas of focus include: 1) the design and usage of technology, 2) the impact of technology on organizations and industries, such as digital transformation, digital labor, human-AI interaction, and collaborative intelligence within new technological trends, 3) the potential consequences of these developments, considering cultural and cross-national perspectives, and 4) the ethical concerns surrounding AI.
We seek to explore how to maximize AI’s benefits while mitigating its drawbacks. How has AI already affected, or might it affect, individuals, organizations, and various workforce contexts? What role does AI play in addressing technology-driven issues like the digital divide, inequality, and data colonialism? Furthermore, to what extent are existing discussions and theoretical frameworks compatible with AI research?
Track Chairs:
Shengnan Yang, Western University
Xiaohua Zhu, University of Tennessee Knoxville
Pnina Fichman, Indiana University
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2025 | ||
Friday, August 15th | ||
12:00 AM |
Wenwen Ding, University of Arkansas 12:00 AM |
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12:00 AM |
New Elderly, Digital Future, and Intergenerational Support Tiantian Liang, Central University of Finance and Economics 12:00 AM |
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12:00 AM |
No Joke: Refusal Policies for Cross-Cultural Sensitivity Mengyuan Zhou, The Chinese University of Hong Kong 12:00 AM |