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Devesh Narayanan Stanford University
Bas Becker Vrije Universiteit Amsterdam
Luciana Dadderio Edinburgh University
Jocelyn Cranefield Victoria University of Wellington
Wayne Wang Fundação Getulio Vargas

Recent publications

Technological Frames: Interpretations about the Futures of Work and Intelligent Machines on Social Media , Ayşe Öcal; Kevin Crowston
ReelFramer: Human-AI Co-Creation for News-to-Video Translation , Sitong Wang; Samia Menon; Tao Long; Keren Henderson; Dingzeyu Li; Kevin Crowston; Mark Hansen; Jeffrey V. Nickerson; Lydia B. Chilton
Making sense of AI systems development , Mateusz Dolata; Kevin Crowston
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models , Savvas Petridis; Nicholas Diakopoulos; Kevin Crowston; Mark Hansen; Keren Henderson; Stan Jastrzebski; Jefrey V. Nickerson; Lydia B. Chilton
Project archetypes: A blessing and a curse for AI development , Mateusz Dolata; Kevin Crowston; Gerhard Schwabe

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Journal Article

Clifton, J., Clifton, J., Glasmeier, A., & Gray, M.. (2020). When machines think for us: The consequences for work and place. Cambridge Journal Of Regions, Economy And Society, 13, 3–23. https://doi.org/10.1093/cjres/rsaa004

Clifton, J., Clifton, J., Glasmeier, A., & Gray, M.. (2020). When machines think for us: The consequences for work and place. Cambridge Journal Of Regions, Economy And Society, 13, 3–23. https://doi.org/10.1093/cjres/rsaa004

Chan, S., & Siegel, E. L.. (2019). Will machine learning end the viability of radiology as a thriving medical specialty?. The British Journal Of Radiology, 92(1094), 20180416. https://doi.org/10.1259/bjr.20180416

Ghislieri, C., Molino, M., & Cortese, C. G.. (2018). Work and organizational psychology looks at the fourth industrial revolution: How to support workers and organizations?. Frontiers In Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02365

Magazine Article

Bughin, J., Hazan, E., Ramaswamy, S., Chui, M., Allas, T., Dahlstrom, P., et al.. (2017). Artificial Intelligence: The next digital frontier. Mckinsey Global Institute. Retrieved de https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced%20Electronics/Our%20Insights/How%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx

Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P., & Dewhurst, M.. (2017). A future that works: Automation, employment and productivity. Mckinsey Global Institute. Retrieved de https://www.mckinsey.com/mgi/overview

Cook, L. Rogers. (2019). How 5 data dynamos do their jobs. Times Insider. Retrieved de https://www.nytimes.com/2019/06/12/reader-center/data-reporting-spreadsheets.html

Miscellaneous

Cebreros, A., Heffner-Rodríguez, A., Livas, R., & Puggioni, D.. (2020). Automation Technologies and Employment at Risk : The Case of Mexico. Banco de México.

Commission, E. (2020). White Paper on Artificial Intelligence - A European approach to excellence and trust. In COM(2020) 65 final. Retrieved de https://www.cambridge.org/core/product/identifier/CBO9781107415324A009/type/book_part

Report

Shoham, Y., Perrault, R., Brynjolfsson, E., & Clark, J.. (2017). Artificial Intelligence Index. Retrieved de https://aiindex.org/2017-report.pdf

Gómez, E., Castillo, C., Charisi, V., Dahl, V., Deco, G., Delipetrev, B., et al.. (2018). As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. Retrieved de https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf

Gómez, E., Castillo, C., Charisi, V., Dahl, V., Deco, G., Delipetrev, B., et al.. (2018). As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. Retrieved de https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf

Haratsis, B., Carmichael, T., Coutney, M., & Fong, J.. (2018). Autonomous vehicles employment impact study. In Australia & New Zealand Driverless Vehicle Initiate. Retrieved de https://advi.org.au/wp-content/uploads/2018/09/Autonomous-Vehicles-Employment-Impact-Survey-COR050918-5.pdf

Haratsis, B., Carmichael, T., Coutney, M., & Fong, J.. (2018). Autonomous vehicles employment impact study. In Australia & New Zealand Driverless Vehicle Initiate. Retrieved de https://advi.org.au/wp-content/uploads/2018/09/Autonomous-Vehicles-Employment-Impact-Survey-COR050918-5.pdf

Budhan, C., Carlton, A., & O'Donnel, E.. (2014). Four scenarios exploring the future of youth employment. In Institute for the future. Retrieved de https://assets.rockefellerfoundation.org/app/uploads/20141201215005/FutureofYouthEmployment.pdf

Corporaal, G. F., & Lehdonvirta, V.. (2017). How fortune 500 firms are adopting online freelancing platforms. In Oxford Internet Institute. Retrieved de https://www.oii.ox.ac.uk/publications/platform-sourcing.pdf

Manyika, J., Lund, S., Chui, M., Woetzel, J., Ko, R., Sanghvi, S., et al.. (2017). Jobs lost, jobs gained: Workforce transactions in a time of automation. In McKinsey Global Institute. Retrieved de https://www.mckinsey.com/~/media/mckinsey/featured%20insights/future%20of%20organizations/what%20the%20future%20of%20work%20will%20mean%20for%20jobs%20skills%20and%20wages/mgi-jobs-lost-jobs-gained-report-december-6-2017.ashx

Hislop, D., Coombs, C., Taneva, S., & Barnard, S.. (2017). Rapid Evidence Review: Impact of artificial intelligence, robotics and automation technologies on work. Retrieved de https://www.cipd.co.uk/knowledge/work/technology/artificial-intelligence-workplace-impact

Castro, D., & McLaughlin, M.. (2019). Ten ways the precautionary principle undermines progress in artificial intelligence. In Information Technology & Innovation Foundation. Retrieved de https://itif.org/publications/2019/02/04/ten-ways-precautionary-principle-undermines-progress-artificial-intelligence

Thesis

Clarke, A. J., & Knudson, III, D. F.. (2018). Examination of cognitive load in the human-machine teaming context. Retrieved de https://hdl.handle.net/10945/59638

Web Article

Coward, C. (2017). AI AND THE GHOST IN THE MACHINE. Retrieved de HACKADAY website: http://hackaday.com/2017/02/06/ai-and-the-ghost-in-the-machine/

Web site

Madgavkar, A., Manyika, J., Krishnan, M., Ellingrud, K., Yee, L., Woetzel, J., et al.. (2019). The future of women at work. Retrieved de https://www.mckinsey.com/~/media/mckinsey/featured%20insights/gender%20equality/the%20future%20of%20women%20at%20work%20transitions%20in%20the%20age%20of%20automation/mgi-the-future-of-women-at-work-full-report-june%202019.ashx

Working paper

Choudhury, P., Starr, E., & Agarwal, R.. (2018). Experimental evidence on complimentarities between human capital and machine learning. In Havard Business Review. Retrieved de https://hbswk.hbs.edu/item/different-strokes-for-different-folks-experimental-evidence-on-complementarities-between-human-capital-and-machine-learning

Choudhury, P. (2018). Experimental evidence on productivity complementarities (E. Starr & Agarwal, R., Trans.). Retrieved de https://www.hbs.edu/faculty/Pages/item.aspx?num=53855

Chiacchio, F., Petropoulos, G., & Pichler, D.. (2018). The impact of industrial robots on eu employment and wages: A local labour market approach. Retrieved de https://bruegel.org/2018/04/the-impact-of-industrial-robots-on-eu-employment-and-wages-a-local-labour-market-approach/

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