Papers

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Employment growth
Jung, J. Hwa, & Lim, D. Geon. (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
engagement
Huang, M. Hui, & Rust, R. T.. (2020). Engaged to a Robot? The Role of AI in Service. Journal Of Service Research. https://doi.org/10.1177/1094670520902266
Ensemble machine learning methods
Kernbach, J. M., & Staartjes, V. E.. (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
environmental efficacy
Fiore, S. M., Philips, E., & Sellers, B. C.. (2014). A transdisciplinary perspective on hedonomic sustainability design. Economics In Design. https://doi.org/10.1177%2F1064804613516762
environmental sustainability
Fiore, S. M., Philips, E., & Sellers, B. C.. (2014). A transdisciplinary perspective on hedonomic sustainability design. Economics In Design. https://doi.org/10.1177%2F1064804613516762
ethical/societal reputation
McLeay, F., Osburg, V. Sophie, Yoganathan, V., & Patterson, A.. (2020). Replaced by a Robot: Service Implications in the Age of the Machine. Journal Of Service Research. https://doi.org/10.1177/1094670520933354
ethics
Carter, D. (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
Herzenberg, S., & Alic, J.. (2019). Towards an AI economy that works for all. In Keystone Research Center Future of Work Project sponsored by The Heinz Endowments. Retrieved de https://www.keystoneresearch.org/sites/default/files/FOW_TowardAIEconomyForAllFinalEdit.pdf
Ethnography
WIllis, M., & Meyer, E. T.. (2018). Work that Enables Care: Understanding Tasks, Automation, and the National Health Service. In iConference. Presented at the iConference. https://doi.org/10.1007/978-3-319-78105-1_60
Explainability
Hacker, P., Krestel, R., Grundmann, S., & Naumann, F.. (2020). 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
de Ágreda, Á. Gómez. (2020). Ethics of autonomous weapons systems and its applicability to any AI systems. Telecommunications Policy, 5, 101953. https://doi.org/10.1016/j.telpol.2020.101953
Explainability-accuracy trade-off
Hacker, P., Krestel, R., Grundmann, S., & Naumann, F.. (2020). 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

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