Papers
Robots and employment: evidence from Italy. In Questioni di Economia e Finanza.
. (2020). The Role of Discretion in the Age of Automation. Computer Supported Cooperative Work: Cscw: An International Journal, 29, 303–333. https://doi.org/10.1007/s10606-020-09371-3
. (2020). Similarity Learning Networks for Animal Individual Re-Identification-Beyond the Capabilities of a Human Observer. In Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020 (479, 44–52). https://doi.org/10.1109/WACVW50321.2020.9096925
. (2020). Think with me, or think for me? On the future role of artificial intelligence in marketing strategy formulation. The Tqm Journal, ahead-of-p. https://doi.org/10.1108/TQM-12-2019-0303
. (2020). . (2020).
Understanding the Impact of Artificial Intelligence on Services. In International Conference on Exploring Services Science (1, 202–213). https://doi.org/10.1007/978-3-030-38724-2
. (2020). A vulnerability analysis : Theorising the impact of artificial intelligence decision-making processes on individuals , society and human diversity from a social justice perspective. Computer Law & Security Review: The International Journal Of Technology Law And Practice, 38, 105429. https://doi.org/10.1016/j.clsr.2020.105429
. (2020). When machines think for us: The consequences for work and place. Cambridge Journal Of Regions, Economy And Society, 13, 3–23. https://doi.org/10.1093/cjres/rsaa004
. (2020). . (2020).
Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
. (2021). 
Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017
. (2022). 
Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark. Retrieved de https://aisel.aisnet.org/icis2022/is_design/is_design/6
. (2022). 
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907
. (2023). Artificial Intelligence and the Future of Citizen Science. Citizen Science: Theory And Practice, 9(1), 32. https://doi.org/10.5334/cstp.812
. (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
. (2024). Framing and feelings on social media: The futures of work and intelligent machines. Information, Technology & People. https://doi.org/10.1108/ITP-01-2023-0049
. (2024). 
Making sense of AI systems development. Ieee Transactions On Software Engineering, 50(1), 123–140. https://doi.org/10.1109/TSE.2023.3338857
. (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.
. (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
. (2024). Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy. Citizen Science: Theory And Practice, 9(1), 42. https://doi.org/10.5334/cstp.738
. (2024). Deskilling and upskilling with AI systems. Information Research An International Electronic Journal, 30(iConf), 1009–1023. https://doi.org/10.47989/ir30iConf47143
. (2025). . (2025).
The task matters: The effect of perceived similarity to AI on intention to use in different task types. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2025.042
. (2025). 
Taming artificial intelligence: A theory of control–accountability alignment among AI developers and users. Academy Of Management Review. https://doi.org/10.5465/amr.2023.0117
. (In Press).