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Dyuti Pandya European Centre for International Political Economy
Devesh Narayanan Stanford University
Bas Becker Vrije Universiteit Amsterdam
Luciana Dadderio Edinburgh University
Jocelyn Cranefield Victoria University of Wellington

Recent publications

Taming artificial intelligence: A theory of control–accountability alignment among AI developers and users , Gudela Grote; Sharon Parker; Kevin Crowston
Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy , Carsten Østerlund; Kevin Crowston; Corey B. Jackson; Yunan Wu; Alexander O. Smith; Aggelos K. Katsaggelos
Deskilling and upskilling with generative AI systems , Kevin Crowston; Francesco Bolici
The task matters: The effect of perceived similarity to AI on intention to use in different task types , Qingyu Liang; Kevin Crowston; Sangseok You
ReelFramer: Human-AI Co-Creation for News-to-Video Translation , Sitong Wang; Samia Menon; Tao Long; Keren Henderson; Dingzeyu Li; Kevin Crowston; Mark Hansen; Jeffrey V. Nickerson; Lydia B. Chilton

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Zanona, M. (2017). House gets serious about driverless cars. The Hill. Retrieved de https://thehill.com/policy/transportation/344141-driverless-car-bill-speeds-through-house

Završnik, A.. (2020). Criminal justice, artificial intelligence systems, and human rights. Era Forum, 20, 567–583. https://doi.org/10.1007/s12027-020-00602-0

Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea

Zhang, H., Feinzi, S., Raisbec, L., McCombe, I., Guenol, N., Montalt, J., & Messe, K.. (2019). IBM Talent Management Solutions The role of AI in mitigating bias to enhance diversity and inclusion. Presented at the. Retrieved de https://www.ibm.com/downloads/cas/2DZELQ4O

Zhang, M., & Gable, G. G.. (2017). A systematic framework for multilevel theorizing in information systems research. Information Systems Research, 28(2), 203 - 224. https://doi.org/10.1287/isre.2017.0690

Zhang, P. (2019). Automation, wage inequality and implications of a robot tax. International Review Of Economics & Finance, 59, 500 - 509. https://doi.org/10.1016/j.iref.2018.10.013

Storey, M. - A., & Zagalsky, A.. (2016). Disrupting developer productivity one bot at a time (T. Zimmermann, Cleland-Huang, J., & Su, Z., Trans.). In the 2016 24th ACM SIGSOFT International SymposiumProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2016 (928 - 931). https://doi.org/10.1145/2950290.2983989

zollosy, M. (2017). Robots, ai, and the question of 'e-persons'. In Journal of science communication. Presented at the Journal of science communication. Retrieved de http://eprints.whiterose.ac.uk/124830/

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Østerlund, C., Jarrahi, M. Hossein, Willis, M., Boyd, K., & Wolf, C.. (2020). Artificial intelligence and the world of work, a co-constitutive relationship. Journal Of The Association For Information Science And Technology. https://doi.org/10.1002/asi.24388

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.

TREW_Workshop_Paper_2024.pdf (392.26 KB)

Østerlund, C., Crowston, K., Jackson, C. B., Wu, Y., Smith, A. O., & Katsaggelos, A. K.. (In Press). Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy. Citizen Science: Theory And Practice.

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