Track Co-Chairs
Cheuk Hang AU (Allen), Edith Cowan University, WA, Australia
Lin Yue, Macquarie University, NSW, Australia
Hsiao-Ting Tseng, National Central University, Taoyuan, Taiwan
Patrick Hung, Ontario Tech University, Oshawa, Canada
Track Description
Artificial intelligence (AI), cloud computing, and other emerging technologies are transforming the manner in which people, organizations, and societies operate. While these technologies pose to us greater-than-ever potential for innovation, efficiency, and creation of new value, they also change our behaviour, pose tremendous risks, ethical issues, and unintended consequences. For example, generative AI applications may produce content that is seemingly correct but indeed contain misinformation, which is hardly to be detected manually. This track seeks to explore the dark sides of AI and emerging technologies. We are open to studies that examine the challenges, threats, and ill effects in multiple contexts. Study topics of interest include, but are not limited to, accountable AI, AI ethics, bias in algorithms, the social impact of emerging technologies, digital trust, misinformation/disinformation, surveillance, organizational transformation, and the future relationship between human and intelligent systems. We encourage conceptual, empirical, design science, and critical scholarship that sheds light on how new technologies and AI impact, and are impacted by, information systems and broader social forces.
Potential topics include (but are not limited to):
- Responsible AI and Ethical Governance
- Algorithmic Design, Bias and Fairness in Decision-Making Systems
- Human-AI Collaboration and Augmentation
- AI-driven Misinformation, Disinformation and Ideological Polarisation
- Surveillance, Privacy, and Data Security in Emerging Technologies
- Workforce Transformation
- Digital Trust and User Acceptance of Emerging Technologies
- The Environmental Impact of AI and Emerging Technologies