Papers
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. (2019). Why we are failing to understand the societal impact of artificial intelligence. Social Research: An International Quarterly, 86, pp. 477-498. Retrieved de https://muse.jhu.edu/article/732186
. (2019). Use of Artificial Intelligence to Improve Resilience and Preparedness Against Adverse Flood Events. Water, 11(5), 973. https://doi.org/10.3390/w11050973
. (2020). Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. 1–9. Retrieved de http://arxiv.org/abs/2004.07213
. (2019). Steps toward a scaffolding design framework (pp. 149 - 161; ). In (pp. 149 - 161). https://doi.org/10.1007/978-3-030-12334-5_5
. (1981). The socio-technical perspective: The evolution of socio-technical systems as a conceptual framework and action research program. In , Perspectives in Organization Design and Behavior (pp. 32–47). London: John Wiley.
. (2019). Rise of the Machines: Advances in Deep Learning for Cancer Diagnosis. Trends In Cancer, 5(3), 157 - 169. https://doi.org/10.1016/j.trecan.2019.02.002
. (2017). One hundred years of work design research: Looking back and looking forward. Journal Of Applied Psychology, 102(3), 403 - 420. https://doi.org/10.1037/apl0000106
. (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). (2019). A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic. Jco Clinical Cancer Informatics, (3), 1 - 17. https://doi.org/10.1200/CCI.18.00056
. (2016). Machine learning and decision support in critical care. Proceedings Of The Ieee, 104(2), 444 - 466. https://doi.org/10.1109/JPROC.2015.2501978
. (2015). Intelligible Models for HealthCare (). In the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 (1721 - 1730). https://doi.org/10.1145/278325810.1145/2783258.2788613
. (2020). Industrial robots, employment growth, and labor cost: A simultaneous equation analysis. Technological Forecasting And Social Change, 159, 120202. https://doi.org/10.1016/j.techfore.2020.120202
. (2019). In the age of the smart artificial intelligence: AI’s dual capacities for automating and informating work. Business Information Review, 026638211988399. https://doi.org/10.1177/0266382119883999
In the Age of the Smart Artificial Intelligence AI’s Dual Capacities for Automating and Informating.pdf (317.68 KB). (2018). Improving palliative care with deep learning. Bmc Medical Informatics And Decision Making, 18(S4). https://doi.org/10.1186/s12911-018-0677-8
. (2014). Human-agent collectives. Communications Of The Acm, 57(12), 80 - 88. https://doi.org/10.1145/269296510.1145/2629559
. (2019). How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany (). In Electronic Government (pp. 233-247). https://doi.org/10.1007/978-3-030-27325-5
. (2018). How to respond to the fourth industrial revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation. Journal Of Open Innovation: Technology, Market, And Complexity, 4(3), 21. https://doi.org/10.3390/joitmc4030021
. (2018). How to respond to the fourth industrial revolution, or the second information technology revolution? Dynamic new combinations between technology, market, and society through open innovation. Journal Of Open Innovation: Technology, Market, And Complexity, 4(3), 21. https://doi.org/10.3390/joitmc4030021
. (2008). Handbook of transdisciplinary research (pp. 427 - 432). In (pp. 427 - 432). https://doi.org/10.1007/978-1-4020-6699-3_28
. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719
Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB). (2019). The future digital work force: Robotic process automation (RPA). Journal Of Information Systems And Technology Management, 16. https://doi.org/10.4301/S1807-1775201916001
. (2019). Deep learning outperformed 136 of 157 dermatologists in a head-to-head dermoscopic melanoma image classification task. European Journal Of Cancer, 113, 47 - 54. https://doi.org/10.1016/j.ejca.2019.04.001