AI, Generative AI, Future of Work
Art & Education, Theories of Technology and the Production of Value from Everyday Life (Presenting lectures by Bernard Stiegler, David Harvey, Tiziana Terranova, Jonathan Beller and Christian Fuchs, Andrew McKinney’s contribution to Classroom concerns the relationship between technology, human labor, and everyday life in late capitalism)
AI Now Institute, Discriminating Systems: Gender, Race, and Power in AI, 2019
Ajunwa, Ifeoma, The Auditing Imperative for Automated Hiring (March 15, 2019)
Ajunwa, Ifeoma and Crawford, Kate and Schultz, Jason, Limitless Worker Surveillance (March 10, 2016)
Ajunwa, Ifeoma and Greene, Daniel, Platforms at Work: Automated Hiring Platforms and Other New Intermediaries in the Organization of Work (September 12, 2018). Ifeoma Ajunwa, Daniel Greene, "Platforms at Work: Automated Hiring Platforms and Other New Intermediaries in the Organization of Work" In Work and Labor in the Digital Age. Published online: 14 Jun 2019
Barclays, Robots at the Gate, 2018
Bertrand, Marianne and Sendhil Mullainathan, "Are Emily And Greg More Employable Than Lakisha And Jamal? A Field Experiment On Labor Market Discrimination," American Economic Review, 2004, v94(4,Sep), 991-1013
Beth Gutelius and Nik Theodore, “The Future of Warehouse Work: Technological Change in the U.S. Logistics Industry” (UC Berkeley Labor Center; Working Partnerships USA, October 2019)
Brookings Institute, Automation and Artificial Intelligence: How machines are affecting people and places, 2019
Brynjolfsson, Erik and Tom Mitchell, "What Can Machine Learning Do? Workforce Implications." Science
Brynjolfsson, Erik, Daniel Rock and Chad Syverson, "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics." NBER Working Paper No. 24001
Capgemini, Upskilling your people for the age of the machine
The Century Foundation: The Datafication of Employment. How Surveillance and Capitalism Are Shaping Workers’ Futures without Their Knowledge, 2018
CoWorker.org: Bossware and Employment Tech Database
Daron Acemoglu & Pascual Restrepo, 2018, "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, vol 108(6)
Data & Society Research Institute, Networked Employment Discrimination, 2014
Data & Society Research Institute, Understanding Fair Labor Practices in a Networked Age, 2014
Data & Society Research Insitute, Explainer: Workplace Monitoring & Surveillance, 2019
Deloitte, Oracle, AI @ Work Report: Artificial Intelligence Is Winning More Hearts & Minds in the Workplace
Deloitte, AI-augmented Human Services, 2017
Economics of AI Conference 2017, Presentations and Working Papers
Ernst & Young, The new age: artificial intelligence for human resource opportunities and functions
Faethm, Diversity and the age of automation, 2021
Frank, Morgan, David Autor, James. E. Bessen, Erik Brynjolfsson, Manuel Cebrian, David J. Deming, Maryann Feldman et al, "Toward Understanding the Impact of Artificial Intelligence on Labor." Proceedings of the National Academy of Sciences
Frey, Carl Benedikt and Osborne, Michael A.: The Future of Employment: How Susceptible are Jobs to Computerisation?, 2013
Grace Lordan & David Neumark, "People Versus Machines: The Impact of Minimum Wages on Automatable Jobs," Labour Economics
Hannak, Aniko; Wagner, Claudia; Garcia, David; Mislove, Alan; Strohmaier, Markus; Wilson, Christo. Bias in Online Freelance Marketplaces: Evidence from Taskrabbit and Twitter. (CSCW’17)
HR Examiner, Navigating the Maze: The 2019 Index of Intelligent Technology in HR
IEC Market Strategy Board (MSB), Haier Group & German Research Centre for Artificial Intelligence (DFKI), Artificial Intelligence Across Industries, 2019
IEC, Factory of the Future
International Bar Association, Artificial Intelligence and Robotics and Their Impact on the Workplace, 2017
International Labor Organization, ASEAN in Transformation: The Future of Jobs at Risk of Automation, 2016
Jia Q., Guo Y., Li R., Li Y.R., & Chen Y.W. (2018), A conceptual artificial intelligence application framework in human resource management. In Proceedings of The 18th International Conference on Electronic Business
Joh, E. E. & White, W. B. (2018), How we can apply AI, and deep learning to our HR functional transformation and core talent processes? Cornell University, ILR School site
The Joint Center: Racial Differences on the Future of Work: A Survey of the American Workforce
Keystone Research Center: Towards an AI Economy That Works for All, 2019
Kim, Pauline, Data-Driven Discrimination at Work (April 19, 2017). William & Mary Law Review, Vol. 48, pp. 857-936 (2017); Washington University in St. Louis Legal Studies Research Paper No. 16-12-01
KPMG, An Ethical Compass in the Automation Age, 2017
LinkedIn, AI Talent in the European Labour Market, 2019
Loi, Michele. "People Analytics must benefit the people. An ethical analysis of data-driven algorithmic systems in human resources management", (2020)
Manish Raghavan, Solon Barocas, Jon Kleinberg, Karen Levy, Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices, 2019
McKinsey Company, A government blueprint to adapt the ecosystem to the future of work, 2020
McKinsey Company, The future of women at work: Transitions in the age of automation, 2019
McKinsey Company, A Future that Works: Automation, Employment and Productivity, 2017
McKinsey Company, Where machines could replace humans—and where they can’t (yet), 2016
Microsoft, Maximising the AI Opportunity, 2019
Microsoft, The Future Computed – AI and its role in society, 2018
MIT Technology Review, Every study we could find on what automation will do to jobs, in one chart (Erin Winick), 2018
OECD, The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis, 2016
Oracle, AI-augmented Human Services
PWC, 2018 AI Predictions 8 Insights to Shape Business Strategy
Roosevelt Institute: Beyond Automation: The Law & Political Economy of Workplace Technological Change
Sánchez-Monedero, J. and Lina Dencik. “The datafication of the workplace.” (2019)
Sonderling, Keith E., Kelley, Bradford J. and Casimir, Lance. The Promise and The Peril: Artificial Intelligence and Employment Discrimination, 77 U. MIA L. Rev. 1 (2022)
Upturn: Help Wanted: An Examination of Hiring Algorithms, Equity, and Bias, 2018
Webb, Michael, The Impact of Artificial Intelligence on the Labor Market, 2019
White House, Artificial Intelligence, Automation, and the Economy, 2016
World Economic Forum’s System Initiative on Shaping the Future of Education, Gender and Work, in collaboration with The Boston Consulting Group and using proprietary data provided exclusively for this report by Burning Glass Technologies, "Towards a Reskilling Revolution: A Future of Jobs for All"
World Economic Forum, Artificial intelligence will save jobs, not destroy them. Here's how