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Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter. In Maastricht Economic and social Research institute on Innovation and Technology. Retrieved de http://ftp.iza.org/dp12005.pdf
. (2018). Evaluating the effects of industrial robots on the European labour market. In Employment and wage effects. Retrieved de https://pdfs.semanticscholar.org/4e19/3a0a02315803d799520b094cce36a1888a94.pdf
. (2017). The internet and jobs opportunities and ambiguous trends. In Policy Insights. Retrieved de https://www.ceps.eu/system/files/PI2018_06_LP-EN-LW_InternetAndJobs.pdf
. (2018). The strategic opportunities and challenges of algorithmic decision-making. The Journal Of Strategic Information Systems, 26(3), 185 - 190. https://doi.org/10.1016/j.jsis.2017.08.002
. (2017). Scaling up analogical innovation with crowds and AI. Proceedings Of The National Academy Of Sciences, 116(6), 1870-1877. https://doi.org/10.1073/pnas.1807185116
. (2019). Reports of the Workshops Held at the Sixth AAAI Conference on Human Computation and Crowdsourcing. Ai Magazine, 39, 57–63.
. (2018). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
. (2019). Occupational identity, technological change, and the librarian/internet-search relationship. Academy Of Management Journal, 57(3), 892 - 928. https://doi.org/10.5465/amj.2012.0201
. (2014). Making Sure We Don’t Forget the Basics When Using Machine Learning. Jnci: Journal Of The National Cancer Institute, 111(6), 529 - 530. https://doi.org/10.1093/jnci/djy179
. (2018). Machine learning and decision support in critical care. Proceedings Of The Ieee, 104(2), 444 - 466. https://doi.org/10.1109/JPROC.2015.2501978
. (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
. (2016). Improving palliative care with deep learning. Bmc Medical Informatics And Decision Making, 18(S4). https://doi.org/10.1186/s12911-018-0677-8
. (2018). Imagining the thinking machine. Convergence: The International Journal Of Research Into New Media Technologies, 135485651771516. https://doi.org/10.1177/1354856517715164
. (2017). Human-agent collectives. Communications Of The Acm, 57(12), 80 - 88. https://doi.org/10.1145/269296510.1145/2629559
. (2014). The global decline of the labor share. The Quarterly Journal Of Economics, 129(1), 61 - 103. https://doi.org/10.1093/qje/qjt032
. (2014). The future of work in the light of technological change. UDC: 005.32:005.95/.96. Retrieved de http://media3.novi.economicsandlaw.org/2017/07/Vol23/IJEAL-23-09.pdf
. (2018). Explainable AI under contract and tort law: legal incentives and technical challenges. Artificial Intelligence And Law. https://doi.org/10.1007/s10506-020-09260-6
. (2020). Digital technologies and artificial intelligence’s present and foreseeable impact on lawyering, judging, policing and law enforcement. Ai & Society, 32(3), 441 - 464. https://doi.org/10.1007/s00146-015-0596-5
. (2017). . (2017).
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
. (2019). A critical approach to human helping in information systems: Heteromation in the Brazilian correspondent banking system. Information And Organization, 28(3), 111 - 128. https://doi.org/10.1016/j.infoandorg.2018.08.002
. (2018). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005
. (2019). Citizen attitudes about job replacement by robotic automation. Futures, 109, 39 - 49. https://doi.org/10.1016/j.futures.2019.04.005
. (2019). . (2018).