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AI technologies have been integrated into information systems across contexts and cultural landscapes, making it urgent to consider if perceptions and practices of AI respond to context-specific needs and make AI applications more effective and mindful. Emerging AI-powered software, tools, and applications such as ChatGPT are leveraging the ability of generative AI to be creative, to imitate human intelligence, but also to surpass, or diverge from, human abilities. How do we make better use of AI across various information systems? 

In this mini-track, we approach this question by creating a discussion on the socio-technical affordances that impact AI evaluation in information systems, particularly from a cross-cultural perspective. We understand cross-cultural practices broadly to cover differences across nations, regions, organizations, disciplines, and societies. We welcome studies that are both culture-specific and adopt a comparative lens. Both empirical work and theoretical contributions are welcomed.

Sample questions include but are not limited to:

- How do cultural attitudes toward AI influence its adoption in information systems across contexts?

-  Are cultural biases inherently built into AI models, and how do these biases impact user experience and decision-making?

- What role do cultural metaphors and symbols play in the user experience design of AI-driven systems, and how are they received across cultural contexts?

- How does the perception of AI ethics vary across cultures?

- How do information consumption patterns vary across cultures, and how does this affect the design of AI algorithms?

- How might culturally driven economic, social, or political factors influence the rate of innovation and integration of AI in information systems?

- How do AI models interpret and perceive cultural data and information? How to make AI in information systems more culturally inclusive and informative?

- How do cultural differences impact expectations and perceived value of AI information systems and affect human-AI interaction?


Important dates: 

This mini-track is under the track "Global, International, and Cross-Cultural Research in Information Systems" (SIG-CCRIS). More details can be accessed here.

Feel free to contact me at rm56@iu.edu with any questions about the mini-track! 

CFP: The organizers of the Visual Research Round-up at ASIS&T AM23 welcome proposals from Information scholars conducting visual research.

The proposal should describe your visual research project and/or methodology in 100 words or less. Accepted presenters will deliver a 6-minute presentation about their research using the Pecha Kucha style (20 slides with 20 seconds of commentary each). The Workshop community will provide constructive feedback. We anticipate that this activity will crowd-source solutions to problems faced by visual researchers and will bring together peers working in similar areas or methods. Presenters will need to be registered for the workshop (Friday, October 27th, 1:00 - 5:00 pm).

Please submit your proposal to judithhvanalstyne1@gmail.com by Monday, October 23th.

This workshop is an opportunity for researchers and practitioners in digital humanities, cultural heritage, and information science, including librarians, archivists, curators, and teachers, to share experiences and ideas about collaborative interpretation, engage in activities to stimulate our thinking, and emerge with takeaways we can incorporate into our own research. We may also form new collaborative relationships.