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Papers

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Krupiy, T. Tanya. (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
Kuriakose, F., & Iyer, D.. (2018). Automation and the future of jobs in India. In Center For The Advanced Study of India. Retrieved de https://casi.sas.upenn.edu/iit/kuriakoseiyer
Kuziemski, M., & Misuraca, G.. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications Policy, 44, 101976. https://doi.org/10.1016/j.telpol.2020.101976
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Land-Zandstra, A. M., Devilee, J. L. A., Snik, F., Buurmeijer, F., & van den Broek, J. M.. (2016). Citizen science on a smartphone: Participants’ motivations and learning. Public Understanding Of Science, 25(1), 45 - 60. https://doi.org/10.1177/0963662515602406
Langlotz, C. P. (2019). Will Artificial Intelligence Replace Radiologists?. Radiology: Artificial Intelligence, 1(3), e190058. https://doi.org/10.1148/ryai.2019190058
Sousa, M. José, & Wilks, D.. (2018). Sustainable skills for the world of work in the digital age. Systems Research And Behavioral Science, 35(4), 399 - 405. https://doi.org/10.1002/sres.v35.410.1002/sres.2540
Møller, N. L. Holten, Bjørn, P., Villumsen, J. Christoffe, Hancock, T. C. Hansen, Aritake, T., & Tani, S.. (2017). Data tracking in search of workflows (C. P. Lee, Poltrock, S., Barkhuus, L., Borges, M., & Kellogg, W., Trans.). In the 2017 ACM ConferenceProceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing - CSCW '17 (2153 - 2165). https://doi.org/10.1145/2998181.2998296
Leveringhaus, A. (2018). Developing robots: The need for an ethical framework. European View, 17(1), 37 - 43. https://doi.org/10.1177/1781685818761016
Levine, A. B., Schlosser, C., Grewal, J., Coope, R., Jones, S. J. M., & Yip, S.. (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

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