Agrawal, A., Gans, J., & Goldfarb, A. (2019). The ambiguous labor market impact of automating prediction. National Bureau of Economic Research. https://doi.org/10.3386/w25619
Acemoglu, D., & Restrepo, P. (2019). Artificial intelligence and the future of labor demand. National Bureau of Economic Research. https://doi.org/10.3386/w25682
Acemoglu, D., & Restrepo, P. (2019). Automation and new tasks: How technology displaces and reinstates labor. National Bureau of Economic Research. https://doi.org/10.3386/w25684
Sudlow, B. (2019). Higher education in the age of Artificial Intelligence. Postdigital Science and Education, 1(1), 236-239. https://doi.org/10.1007/s42438-018-0005-8
Gemmell, L., Wenham, L., & Hauert, S. (2019). Educating those most impacted by artificial intelligence (S. Isotani, E. Millán, A. Ogan, P. Hastings, B. McLaren, & R. Luckin, Eds.; Vols. 11626, pp. 344-349). Springer International Publishing. https://doi.org/10.1007/978-3-030-23207-8_63
Hager, P., & Beckett, D. (2019). The emergence of complexity. Springer International Publishing. https://doi.org/10.1007/978-3-030-31839-0
Chrisinger, D. (2019). The solution lies in education: Artificial intelligence & the skills gap. On the Horizon, 27(1), 1-4. https://doi.org/10.1108/OTH-03-2019-096
Kvalnes, Ø., & Kvalnes, Ø. (2019). Moral reasoning at work automation and ethics (pp. 69-77). Springer International Publishing. 10.1007/978-3-030-15191-1_8
Hagerty, A., & Rubinov, I. (2019). A Review of the Social Impacts and Ethical Implications of Artificial Intelligence. Global AI Ethics. https://arxiv.org/ftp/arxiv/papers/1907/1907.07892.pdf
Winter, J. S., & Davidson, E. (2019). Governance of artificial intelligence and personal health information. Digital Policy, Regulation and Governance, 21(3), 280-290. https://doi.org/10.1108/DPRG-08-2018-0048