Papers
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. (2018). G.M says its driverless car could be in fleets by next year. The Newyork Times. Retrieved de https://www.nytimes.com/2018/01/12/business/gm-driverless-car.html
. (2019). The governance of artificial intelligence. In FCA Conference on Governance in Banking. Retrieved de https://www.bankofengland.co.uk/-/media/boe/files/speech/2019/managing-machines-the-governance-of-artificial-intelligence-speech-by-james-proudman
. (2017). How AI is streamlining marketing and sales. Retrieved de hbr.com website: https://hbr.org/2017/06/how-ai-is-streamlining-marketing-and-sales
. (2018). How real is the impact of artificial intelligence? The business information survey 2018. Business Information Review, 35(3), 99 - 115. https://doi.org/10.1177/0266382118790150
. (2019). 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
Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB). (2019). 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
Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB). (2020). 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
Impacts_of_ML_for_HAI_2020.pdf (453.59 KB). (2020). 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
Impacts_of_ML_for_HAI_2020.pdf (453.59 KB). (2020). Implementation of Artificial Intelligence (AI): A Roadmap for Business Model Innovation. Ai, 1, 180–191. https://doi.org/10.3390/ai1020011
. (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). (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). (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). (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). iNaturalist as a tool to expand the research value of museum specimens. Applications In Plant Sciences, 6(11), e01193. https://doi.org/10.1002/aps3.1193
. (2020). Key Advantages and Risks of Implementing Artificial Intelligence in the Activities of Professional Communicators. In Proceedings of the 2020 IEEE Communication Strategies in Digital Society Seminar, ComSDS 2020 (82–86). https://doi.org/10.1109/ComSDS49898.2020.9101238
. (2020). Key Advantages and Risks of Implementing Artificial Intelligence in the Activities of Professional Communicators. In Proceedings of the 2020 IEEE Communication Strategies in Digital Society Seminar, ComSDS 2020 (82–86). https://doi.org/10.1109/ComSDS49898.2020.9101238
. (2020). Learning occupational task-shares dynamics for the future of work. In AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (36–42). https://doi.org/10.1145/3375627.3375826
. (2020). Learning occupational task-shares dynamics for the future of work. In AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (36–42). https://doi.org/10.1145/3375627.3375826
. (2018). A literature Analysis of Research on Artificial Intelligence in Management Information System (MIS). In Americas Conference on Information Systems.
. (2020). Machine learning-based clinical prediction modeling – A practical guide for clinicians. Artificial Intelligence In Precision Health, 257–278. https://doi.org/10.1016/b978-0-12-817133-2.00011-2
. (2020). Machine learning-based clinical prediction modeling – A practical guide for clinicians. Artificial Intelligence In Precision Health, 257–278. https://doi.org/10.1016/b978-0-12-817133-2.00011-2