Track Co-Chairs
Shah Miah, University of Newcastle,
Libo Liu, University of Melbourne,
Yao Zhao, University of Queensland
Track Description
Digital Technologies have significantly enhanced participation in the exchange of data, information, enabling diverse forms digital collaboration, including human-AI collaboration. Among these technologies, social media platforms are proliferated over the most recent years as a prominent type of digital resources that enable such collaborations and relative innovations by allowing information, ideas, and thoughts, to be socialised through virtual networks and communities.
For end users, using the social media is a primary way of establishing and maintaining social ties and a channel for receiving digital services. For businesses, social media and other digital collaboration platforms serve to attract, retain, and co-create value with customers and is a rich source of information for predicting customer behaviour and market trends. However, the adoption of these platforms has raised concerns regarding the unintended consequences and potential risks. For example, issues related to users’ digital wellbeing, consumer intelligence, addiction to smartphones, cyberbullying, fraud, fake information, complexities of generating data insights, breaches of privacy, AI ethics and algorithmic accountability or any other forms of human and societal ethics.
In line with the conference theme “AI-Infused Information Systems: Capabilities, Transformation, and the Next Frontier.”, we invite submissions of cutting-edge conceptual, methodological, and empirical research that enhances both theoretical insight and practical understanding of a wide range of current and future tools and platforms for digital collaboration, including human-AI collaboration.
Topics of interest include but are not limited to:
- Intelligent data management solutions designed to tackle business issues and evolving dilemma
- Data governance in digital workplace and open environment for digital collaborations
- Human–AI Collaboration in Virtual Teams: Leveraging AI-Enabled Tools to Maximise Business Potential
- New theories on human-AI collaboration at one or multiple levels, including individual, departmental, organizational, and inter-organisational levels
- The use of data science and analytics methods for research on the crowd and digital collaboration
- Consumer intelligence from digital platforms
- Trustworthiness and reliability of the information on digital collaboration tools
- Management and coordination challenges in human-AI collaboration
- Ethical concerns, privacy issues and challenges related to human-AI collaboration
- Exploration of negative effects of social media and human-AI collaboration tools (e.g., cyberbullying, fraud, and fake news) and mitigation methods
- Understanding and combating the diffusion of fake news and misinformation
- Implications of regulating social media content (e.g., Australia’s News Media and Digital Platforms Mandatory Bargaining Code)