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Members of the WAIM network are developing the understanding needed to jointly design both sides of the human-technology frontier in work settings and using intelligent machines. Join now by clicking .

Deskilling and upskilling with AI systems

Special issue on The Future of Artificial Intelligence and Citizen Science

Submitted by crowston on Mon, 2024-12-09 16:18

Our special collection on The Future of Artificial Intelligence and Citizen Science was just published in Citizen Science: Theory & Practice. Check it out !

 

 

Artificial Intelligence and the Future of Citizen Science

Fortson, L., Crowston, K., Kloetzer, L., & Ponti, M.. (2024). Artificial Intelligence and the Future of Citizen Science. Citizen Science: Theory And Practice, 9(1), 32. https://doi.org/10.5334/cstp.812

Special issue on Futures of Work in the Age of Intelligent Machines just published!

Submitted by crowston on Sat, 2024-11-30 11:22

Our special issue on the Futures of Work in the Age of Intelligent Machines was just published in the journal Information, Technology & People. It includes 7 special issue papers plus one related regular issue paper. Check it out here:

Editorial: Sharing work with AI: introduction to the special issue on the futures of work in the age of intelligent machines

Crowston, K., Erickson, I., & Nickerson, J.. (2024). Editorial: Sharing work with AI: introduction to the special issue on the futures of work in the age of intelligent machines. Information Technology & People, 37(7), 2353 - 2356. https://doi.org/10.1108/ITP-12-2024-994

Taming artificial intelligence: A theory of control–accountability alignment among AI developers and users

Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy

ReelFramer: Human-AI Co-Creation for News-to-Video Translation

Wang, S., Menon, S., Long, T., Henderson, K., Li, D., Crowston, K., et al.. (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI '24: CHI Conference on Human Factors in Computing SystemsProceedings of the CHI Conference on Human Factors in Computing Systems (1 - 20). https://doi.org/10.1145/3613904.3642868

Mutual learning in human-AI interaction

Østerlund, C., Crowston, K., Jackson, C. B., Takou-Ayaoh, M., Wu, Y., & Katsaggelos, A. K.. (2024). Mutual learning in human-AI interaction. In Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference. Presented at the Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference, Honolulu, HI.

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