Harandi, Mahboobeh, et al. “The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning”. Hawai’i International Conference on System Science, 2020, doi:10.24251/HICSS.2020.719 .
Bærøe, Kristine, et al. “How to Achieve Trustworthy Artificial Intelligence for Health”. Bulletin of the World Health Organization, vol. 98, 4, 2020, pp. 257–262, doi:10.2471/BLT.19.237289.
del Sol, Pablo Egana, et al. “The Future of Work in Developing Economies”. MIT Sloan Management Review, vol. 61, 2, 2020, pp. 1–3.
Brundage, Miles, et al. Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. 2020, pp. 1–9, http://arxiv.org/abs/2004.07213.
Clifton, Judith, et al. “When Machines Think for Us: The Consequences for Work and Place”. Cambridge Journal of Regions, Economy and Society, vol. 13, 1, 2020, pp. 3–23, doi:10.1093/cjres/rsaa004.
Bessen, James, et al. Automation: A Guide for Policymakers. Brookings Institute, 2020, https://www.brookings.edu/research/automation-a-guide-for-policymakers/.
Spencer, David, and Gary Slater. “No Automation Please, We’re British: Technology and the Prospects for Work”. Cambridge Journal of Regions, Economy and Society, vol. 13, 1, 2020, pp. 117–134, doi:10.1093/cjres/rsaa003.
Jung, Jin Hwa, and Dong Geon Lim. “Industrial Robots, Employment Growth, and Labor Cost: A Simultaneous Equation Analysis”. Technological Forecasting and Social Change, vol. 159, June, Elsevier, 2020, p. 120202, doi:10.1016/j.techfore.2020.120202.
Das, Subhro, et al. “Learning Occupational Task-Shares Dynamics for the Future of Work”. AIES 2020 - Proceedings of the AAAI ACM Conference on AI, Ethics, and Society, 2020, pp. 36–42, doi:10.1145/3375627.3375826.
Dogru, Ali K, and Burcu B Keskin. “AI in Operations Management: Applications, Challenges and Opportunities”. Journal of Data, Information and Management, vol. 2, 2, Journal of Data, Information and Management, 2020, pp. 67–74, doi:10.1007/s42488-020-00023-1.