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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

Taming artificial intelligence: A theory of control–accountability alignment among AI developers and users , Gudela Grote; Sharon Parker; Kevin Crowston
Supporting and augmenting human and machine learning in citizen science: Lessons from Gravity Spy , Carsten Østerlund; Kevin Crowston; Corey B. Jackson; Yunan Wu; Alexander O. Smith; Aggelos K. Katsaggelos
Deskilling and upskilling with generative AI systems , Kevin Crowston; Francesco Bolici
The task matters: The effect of perceived similarity to AI on intention to use in different task types , Qingyu Liang; Kevin Crowston; Sangseok You
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

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Mnih, V., Kavukcuoglu, K., Silver, D., Rusu, A. A., Veness, J., Bellemare, M. G., et al.. (2015). Human-level control through deep reinforcement learning. Nature, 518, 529-533.

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

Mishev, G. (2006). Analysis of the automation and the human worker, connection between the levels of automation and different automation concept. In Factory in a box. Retrieved de https://www.diva-portal.org/smash/get/diva2:228706/FULLTEXT01.pdf

Mishel, L., & Bivens, J.. (2017). The zombie robot argument lurches on. Economy Policy Institute. Retrieved de http://epi.org/126750

Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T.. (2017). Deep learning for healthcare: review, opportunities and challenges. Briefings In Bioinformatics, 19(6), 1236 - 1246. https://doi.org/10.1093/bib/bbx044

Miller, S. (2018). AI: Augmentation, more so than automation. Asian Management Insights. Retrieved de https://cmp.smu.edu.sg/ami/all

Miller, F. A., Katz, J. H., & Gans, R.. (2018). The OD imperative to add inclusion to the algorithms of artificial intelligence. Researchgate. Retrieved de https://www.researchgate.net/publication/323830092_AI_x_I_AI2_The_OD_imperative_to_add_inclusion_to_the_algorithms_of_artificial_intelligence

Mikhaylov, S. Jankin, Esteve, M., & Campion, A.. (2018). Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration. Philosophical Transactions Of The Royal Society A: Mathematical, Physical And Engineering Sciences, 376(2128), 20170357. https://doi.org/10.1098/rsta.2017.0357

N. Meyer, D. (1982). Office automation: A progress report. Office Technology And People, 1(1), 107 - 121. https://doi.org/10.1108/eb022608

Dahya, R., & Morris, A.. (2019). Toward a conceptual framework for understanding AI action and legal reaction (Vol. 11489, pp. 453 - 459; M. - J. Meurs & Rudzicz, F., Eds.). In (Vol. 11489, pp. 453 - 459). https://doi.org/10.1007/978-3-030-18305-9_44

Metz, C. (2018). Fedex follows Amazon into the robotic future. The New York Times. Retrieved de https://www.nytimes.com/2018/03/18/technology/fedex-robots.html

Metz, C. (2018). Google Researchers Are Learning How Machines Learn. Retrieved de The NewYork Times website: https://www.nytimes.com/2018/03/06/technology/google-artificial-intelligence.html

Metcalf, L., Askay, D. A., & Rosenberg, L. B.. (2019). Pooling knowledge through artificial swarm intelligence to improve business decision making. California Management Review, 61(4), 84 - 109. https://doi.org/10.1177/0008125619862256

Meskó, B., Hetényi, G., & Győrffy, Z.. (2018). Will artificial intelligence solve the human resource crisis in healthcare?. Bmc Health Services Research, 18(1). https://doi.org/10.1186/s12913-018-3359-4

Merchant, B. (2019). Applying for your next job may be an automated nightmare. Gizmodo. Retrieved de https://gizmodo.com/applying-for-your-next-job-may-be-an-automated-nightmar-1834275825

Mendling, J., Decker, G., Hull, R., Reijers, H. A., & Weber, I.. (2018). How do machine learning, robotic process automation, and blockchains affect the human factor in business process management?. Communications Of The Association For Information Systems, 297 - 320. https://doi.org/10.17705/1CAIS.04319

Mehic, A. (2018). Industrial employment and income inequality: Evidence from panel data. Structural Change And Economic Dynamics, 45, 84 - 93. https://doi.org/10.1016/j.strueco.2018.02.006

Meghdari, A., & Alemi, M.. (2018). Recent advances in social & cognitive robotics and imminent ethical challenges. In 10th International RAIS Conference on Social Sciences and Humanities. Retrieved de https://www.atlantis-press.com/proceedings/rais-18/25902731

Mcmahon, M., Mumper, D., Ihaza, M., & Farrar, D.. (2019). How Smart is your Manufacturing? Build Smarter with AI. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) (55 - 60). https://doi.org/10.1109/COMPSAC.2019.10183

McLeay, F., Osburg, V. Sophie, Yoganathan, V., & Patterson, A.. (2020). Replaced by a Robot: Service Implications in the Age of the Machine. Journal Of Service Research. https://doi.org/10.1177/1094670520933354

Kim, S. Yun. (2019). The fourth industrial revolution: Trends and impacts on the world of work (pp. 177 - 194; S. McGrath, Mulder, M., Papier, J., & Suart, R., Eds.). In (pp. 177 - 194). https://doi.org/10.1007/978-3-319-94532-3_115

McCormick, R. (2016). AP's robot journalists are writing about Minor League Baseball now. Retrieved de theverge website: https://www.theverge.com/2016/7/4/12092768/ap-robot-journalists-automated-insights-minor-league-baseball

Matuzeviciute, K., Butkus, M., & Karaliute, A.. (2017). Do technological innovations affect unemployment? Some empirical evidence from European countries. Economies, 5(4), 48. https://doi.org/10.3390/economies5040048

Mason, Ea. (2018). A.I. And big data could power a new war on poverty. Retrieved de https://www.nytimes.com/2018/01/01/opinion/ai-and-big-data-could-power-a-new-war-on-poverty.html

Martine-Plumed, F., Avin, S., Brundage, M., Dafoe, A., hEigeartaigh, S. O., & Hernández-Orallo, J.. (2018). Accounting for the neglected dimensions of AI progress. Data-Efficient Ml. Retrieved de https://arxiv.org/abs/1806.00610

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