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Dyuti Pandya European Centre for International Political Economy
Devesh Narayanan Stanford University
Bas Becker Vrije Universiteit Amsterdam
Luciana Dadderio Edinburgh University
Jocelyn Cranefield Victoria University of Wellington

Recent publications

The Role of Human Creativity in the Presence of AI Creativity Tools at Work: A Case Study on AI-Driven Content Transformation in Journalism , Sitong Wang; Jocelyn McKinnon-Crowley; Tao Long; Kian Loong Lua; Keren Henderson; Kevin Crowston; Jeffrey V. Nickerson; Mark Hansen; Lydia B. Chilton
Deskilling and upskilling with AI systems , Kevin Crowston; Francesco Bolici
Artificial Intelligence and the Future of Citizen Science , Lucy Fortson; Kevin Crowston; Laure Kloetzer; Marisa Ponti
Editorial: Sharing work with AI: introduction to the special issue on the futures of work in the age of intelligent machines , Kevin Crowston; Ingrid Erickson; Jeffrey Nickerson
Taming artificial intelligence: A theory of control–accountability alignment among AI developers and users , Gudela Grote; Sharon Parker; Kevin Crowston

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2018

Cho, J., & Kim, J.. (2018). Identifying factors reinforcing robotization: Interactive forces of employment, working hour and wage. Sustainability, 10(2), 490. https://doi.org/10.3390/su10020490

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/

Rücker, D., Hornfeck, R., & Paetzold, K.. (2018). Investigating ergonomics in the context of human-robot collaboration as a sociotechnical system (Vol. 784, pp. 127 - 135; J. Chen, Ed.). In (Vol. 784, pp. 127 - 135). https://doi.org/10.1007/978-3-319-94346-6_12

Mlynar, J., Alavi, H. S., Verma, H., & Cantoni, L.. (2018). Lecture Notes in Computer ScienceArtificial General IntelligenceTowards a Sociological Conception of Artificial Intelligence (Vol. 10999, pp. 130 - 139; M. Iklé, Franz, A., Rzepka, R., & Goertzel, B., Eds.). In (Vol. 10999, pp. 130 - 139). https://doi.org/10.1007/978-3-319-97676-1

Huettmann, F., Craig, E. H., Herrick, K. A., Baltensperger, A. P., Humphries, G., Lieske, D. J., et al.. (2018). Machine Learning for Ecology and Sustainable Natural Resource ManagementUse of Machine Learning (ML) for Predicting and Analyzing Ecological and ‘Presence Only’ Data: An Overview of Applications and a Good Outlook (pp. 27 - 61; G. Humphries, Magness, D. R., & Huettmann, F., Eds.). In (pp. 27 - 61). https://doi.org/10.1007/978-3-319-96978-7_2

Beller, E., Clark, J., Tsafnat, G., Adams, C., Diehl, H., Lund, H., et al.. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, (77). https://doi.org/10.1186/s13643-018-0740-7

Beller, E., Clark, J., Tsafnat, G., Adams, C., Diehl, H., Lund, H., et al.. (2018). Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic Reviews, 7(1). https://doi.org/10.1186/s13643-018-0740-7

Dimitriou, N., Arandjelović, O., Harrison, D. J., & Caie, P. D.. (2018). A principled machine learning framework improves accuracy of stage II colorectal cancer prognosis. Npj Digital Medicine, 1(1). https://doi.org/10.1038/s41746-018-0057-x

Coelho, H. (2018). Reflections on the meaning of automated education. Education Policy Analysis Archives, 26, 115. https://doi.org/10.14507/epaa.26.3863

Croghan, S. M., Carroll, P., Reade, S., Gillis, A. E., & Ridgway, P. F.. (2018). Robot Assisted Surgical Ward Rounds: Virtually Always There. Journal Of Innovation In Health Informatics, 25(1), 041. https://doi.org/10.14236/jhi.v25i1.982

Croghan, S. M., Carroll, P., Reade, S., Gillis, A. E., & Ridgway, P. F.. (2018). Robot Assisted Surgical Ward Rounds: Virtually Always There. Journal Of Innovation In Health Informatics, 25(1), 041. https://doi.org/10.14236/jhi.v25i1.982

Vishnevsky, V. P., & Chekina, V. D.. (2018). Robot vs. tax inspector or how the fourth industrial revolution will change the tax system: a review of problems and solutions. Journal Of Tax Reform, 4(1), 6 - 26. https://doi.org/10.15826/jtr.2018.4.1.042

Carnonero, F., Ernst, E., & Weber, E.. (2018). Robots worldwide: The impact of automation on employment and trade. In International Labour Office. Retrieved de https://www.ilo.org/wcmsp5/groups/public/---dgreports/---inst/documents/publication/wcms_648063.pdf

Bosio, G., & Cristini, A.. (2018). The role of technological progress and structural change in the labour market (pp. 15 - 41; G. Bosio, Minola, T., Origo, F., & Tomelleri, S., Eds.). In (pp. 15 - 41). https://doi.org/10.1007/978-3-319-90548-8_2

Basso, P., Chiaretti, G., Krzywdzinski, M., Gerber, C., & Evers, M.. (2018). The social consequences of the digital revolution (Vol. 6). In (Vol. 6). https://doi.org/10.30687/2610-968910.30687/978-88-6969-273-410.30687/978-88-6969-273-4/008

Mlynar, J., Alavi, H. S., Verma, H., & Cantoni, L.. (2018). Towards a Sociological Conception of Artificial Intelligence. In Artificial General Intelligence (AGI). Presented at the Artificial General Intelligence (AGI). https://doi.org/10.1007/978-3-319-97676-1_13

Chee, F. M. (2018). An Uber ethical dilemma: examining the social issues at stake. Journal Of Information, Communication And Ethics In Society, 16(3), 261 - 274. https://doi.org/10.1108/JICES-03-2018-0024

Toxtli, C., Monroy-Hernández, A., & Cranshaw, J.. (2018). Understanding Chatbot-mediated Task Management (R. Mandryk, Hancock, M., Perry, M., & Cox, A., Trans.). In the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 (1 - 6). https://doi.org/10.1145/317357410.1145/3173574.3173632

Toxtli, C., Monroy-Hernández, A., & Cranshaw, J.. (2018). Understanding Chatbot-mediated Task Management (R. Mandryk, Hancock, M., Perry, M., & Cox, A., Trans.). In the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 (1 - 6). https://doi.org/10.1145/317357410.1145/3173574.3173632

Willis, M., & Meyer, E. T.. (2018). Understanding tasks, automation, and the national health service (Vol. 10766, pp. 544 - 549; G. Chowdhury, McLeod, J., Gillet, V., & Willett, P., Eds.). In (Vol. 10766, pp. 544 - 549). https://doi.org/10.1007/978-3-319-78105-1_60

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

2017

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/

Chace, C. (2017). Artificial Intelligence and the two singularities. In A Chapman & Hall Book (1st ed.). Retrieved de https://www.amazon.com/Artificial-Intelligence-Singularities-Chapman-Robotics/dp/0815368534

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

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

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