Papers
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). Humans, robots and values. Technology In Society, 45, 19 - 28. https://doi.org/10.1016/j.techsoc.2016.01.002
. (2016). Reflections on the meaning of automated education. Education Policy Analysis Archives, 26, 115. https://doi.org/10.14507/epaa.26.3863
. (2018). The digital workforce and the workplace of the future. Academy Of Management Journal, 59(3), 731 - 739. https://doi.org/10.5465/amj.2016.4003
. (2016). . (2020).
Data Science for Undergraduates. https://doi.org/10.17226/25104
. (2018). Information Technology and the U.S. Workforce. https://doi.org/10.17226/24649
. (2017). Inferring work task automatability from AI expert evidence ( ). In the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 (485 - 491). https://doi.org/10.1145/330661810.1145/3306618.3314247
. (2019). How 5 data dynamos do their jobs. Times Insider. Retrieved de https://www.nytimes.com/2019/06/12/reader-center/data-reporting-spreadsheets.html
. (2019). Creativity, the arts, and the future of work (pp. 283 - 310; ). In (pp. 283 - 310). https://doi.org/10.1007/978-3-319-78580-6_9
. (2018). How fortune 500 firms are adopting online freelancing platforms. In Oxford Internet Institute. Retrieved de https://www.oii.ox.ac.uk/publications/platform-sourcing.pdf
. (2017). . (2019).
AI AND THE GHOST IN THE MACHINE. Retrieved de HACKADAY website: http://hackaday.com/2017/02/06/ai-and-the-ghost-in-the-machine/
. (2017). The big move toward big data in employment. In Employment& Labor Law Solutions Worldwide. Retrieved de https://www.littler.com/files/wp_big_data_8-04-15.pdf
. (2015). Robot Assisted Surgical Ward Rounds: Virtually Always There. Journal Of Innovation In Health Informatics, 25(1), 041. https://doi.org/10.14236/jhi.v25i1.982
. (2018). How the anthropormorphization of virtual assistants influences user's trust. Academy Of Management Proceedings, 2018(1), 16328. https://doi.org/10.5465/AMBPP.2018.16328abstract
. (2018). Impacts of machine learning on work. In Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719
. (2019). Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. https://doi.org/10.1145/3406499.3415070
. (2020). Impacts_of_ML_for_HAI_2020.pdf (453.59 KB)Blending machine and human learning processes. In Hawai'i International Conference on System Sciences. https://doi.org/10.24251/HICSS.2017.009
. (2017). training v3 to share.pdf (245.57 KB)Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers. In Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual. Presented at the Automation Experience across Domains (AutomationXP20), CHI'20 Workshop, 26 April 2020, Virtual, Virtual workshop.
. (2020). Everyday_automation camera ready.pdf (421.84 KB)Deskilling and upskilling with generative AI systems. In Working paper.
. (2024). GAI_and_skills.pdf (281.94 KB)A deep learning approach for quantifying tumor extent. Scientific Reports, 7(1). https://doi.org/10.1038/srep46450
. (2017). Artificial Intelligence and Judicial Modernization. https://doi.org/10.1007/978-981-32-9880-4
. (2020). Are robots stealing our jobs?. Socius: Sociological Research For A Dynamic World, 5, 237802311984624. https://doi.org/10.1177/2378023119846249
. (2019).