Choudhury, Prithwiraj, et al. “Experimental Evidence on Complimentarities Between Human Capital and Machine Learning”. 2018. Havard Business Review, 2018, https://hbswk.hbs.edu/item/different-strokes-for-different-folks-experimental-evidence-on-complementarities-between-human-capital-and-machine-learning.
Wilson, Lisa, and Paul Mac Flynn. The Impact of Automation Technologies for Employment in Northern Ireland. Nevin Economic Research Institute, 2019, https://www.nerinstitute.net/research/the-future-of-work-the-impact-of-automation-techno-1/.
Kuriakose, Francis, and Deepa Iyer. “Automation and the Future of Jobs in India”. 2018. Center For The Advanced Study of India, University of Pennsylvania, 2018, https://casi.sas.upenn.edu/iit/kuriakoseiyer.
Agrawal, Ajay, et al. “Economic Policy for Artificial Intelligence”. 2018. National Bureau of Economic Research, 24690, 2018, https://econpapers.repec.org/paper/nbrnberwo/24690.htm.
Natalie, Elena, and Cagnol Hveem. “Evaluating the Effects of Industrial Robots on the European Labour Market”. Employment and Wage Effects, vol. Bergen, Fall, 2017, 2017, https://pdfs.semanticscholar.org/4e19/3a0a02315803d799520b094cce36a1888a94.pdf.
Spaanderman, Koen. “Economies of the Future: Robots and Artificial Intelligence, the New Economic Motor or Downfall of the Working Class?”. 2018. Engineering and Policy Analysis, 2018, https://repository.tudelft.nl/islandora/object/uuid%3Af30b5d2e-d48d-4c90-8780-3d55a2e1a7d3.
Lee, King Fuei. “Automation, Computerisation and Future Employment in Singapore”. Journal of Southeast Asian Economies, vol. 34, 2017, https://mpra.ub.uni-muenchen.de/79961/.
Pupillo, Lorenzo, et al. “The Internet and Jobs Opportunities and Ambiguous Trends”. 2018. Policy Insights, 2018, https://www.ceps.eu/system/files/PI2018_06_LP-EN-LW_InternetAndJobs.pdf.
Marengo, Luigi. “Is This Time Different? A Note on Automation and Labour in the Fourth Industrial Revolution”. 2019. Journal of Industrial and Business Economics, vol. 46, no. 3, 2019, pp. 323-31, doi:10.1007/s40812-019-00123-z.
Brynjolfsson, Erik, et al. “Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics”. 2017. National Bureau of Economic Research, 24001, 2017, http://www.nber.org/papers/w24001.