Østerlund, Carsten, et al. “Mutual Learning in Human-AI Interaction”. Trust and Reliance in Evolving Human-AI Workflows (TREW) Workshop, ACM CHI Conference, 2024.
Dolata, Mateusz, and Kevin Crowston. “Making Sense of AI Systems Development”. 2023. IEEE Transactions on Software Engineering, vol. 50, no. 1, 2024, pp. 123–140, doi:10.1109/TSE.2023.3338857.
Öcal, Ayşe, and Kevin Crowston. “Framing and Feelings on Social Media: The Futures of Work and Intelligent Machines”. Information, Technology & People, 2024, doi:10.1108/ITP-01-2023-0049.
Wang, Sitong, et al. ReelFramer: Co-Creating News Reels on Social Media With Generative AI. 2023, doi:10.48550/arXiv.2304.09653.
Petridis, Savvas, et al. “AngleKindling: Supporting Journalistic Angle Ideation With Large Language Models”. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023, doi:10.1145/3544548.3580907.
Dolata, Mateusz, et al. “Project Archetypes: A Blessing and a Curse for AI Development”. International Conference on Information Systems (ICIS), 2022, https://aisel.aisnet.org/icis2022/is_design/is_design/6 .
Dolata, Mateusz, and Kevin Crowston. The Emerging of Sense in Complex Systems Development: The Case of Cognitive Computing. 2022.
Ågerfalk, Pär J., et al. “Artificial Intelligence in Information Systems: State of the Art and Research Roadmap”. Communications of the Association for Information Systems (CAIS), vol. 50, 2022, doi:10.17705/1CAIS.05017.
Ebel, Philipp, et al. “Hybrid Intelligence in Business Networks”. 2021. Electronic Markets, 2021, doi:10.1007/s12525-021-00481-4.
Schneider, Stefan, et al. “Similarity Learning Networks for Animal Individual Re-Identification-Beyond the Capabilities of a Human Observer”. Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020, vol. 479, 2020, pp. 44–52, doi:10.1109/WACVW50321.2020.9096925.