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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

Recently added resources

Work in The Age Of AI, Robots, and Algorithms , Syllabus , Diane Bailey
Comm493: Analytics and Artificial Intelligence for Business , Syllabus , Tracy Jenkin

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2018

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

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

Ajunwa, I., & Greene, D.. (2018). Platforms at work: Automated hiring platforms and other new intermediaries in the organization of work. Retrieved de http://dmgreene.net/wp-content/uploads/2018/09/Ajunwa-Greene-Platforms-at-Work-Accepted-Version.pdf

Gruetzemacher, R. (2018). Rethinking AI strategy and policy as entangled super wicked problems (J. Furman, Marchant, G., Price, H., & Rossi, F., Trans.). In the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES '18 (122 - 122). https://doi.org/10.1145/3278721.3278746

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

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

Garcia-Murillo, M., MacInnes, I., & Bauer, J. M.. (2018). Techno-unemployment: A framework for assessing the effects of information and communication technologies on work. Telematics And Informatics, 35(7), 1863 - 1876. https://doi.org/10.1016/j.tele.2018.05.013

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

Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O.. (2018). When Will AI Exceed Human Performance? Evidence from AI Experts. Retrieved de https://jair.org/index.php/jair/article/download/11222/26431/

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

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

2019

Garcia-Murillo, M., & MacInnes, I.. (2019). AI’s path to the present and the painful transitions along the way. Digital Policy, Regulation And Governance, 21(3), 305 - 321. https://doi.org/10.1108/DPRG-09-2018-0051

Maedche, A., Legner, C., Benlian, A., Berger, B., Gimpel, H., Hess, T., et al.. (2019). AI-Based Digital Assistants. Business & Information Systems Engineering, 61(4), 535 - 544. https://doi.org/10.1007/s12599-019-00600-8

Agrawal, A., Gans, J., & Goldfarb, A.. (2019). The ambiguous labor market impact of automating prediction. https://doi.org/10.3386/w25619

Agrawal, A., Gans, J., & Goldfarb, A.. (2019). The ambiguous labor market impact of automating prediction. https://doi.org/10.3386/w25619

Giuntella, O., & Wang, T.. (2019). Is an army of robots marching on Chinese jobs?. Iza – Institute Of Labor Economics, (IZA DP No. 12281). Retrieved de https://www.iza.org/publications/dp/12281/is-an-army-of-robots-marching-on-chinese-jobs

Sanal, M. Girija, Paul, K., Kumar, S., & Gangul, N. Kumar. (2019). Artificial Intelligence and Deep Learning: The Future of Medicine and Medical Practice. Journal Of The Association Of Physicians Of India ■ Vol. 67 . Retrieved de https://www.semanticscholar.org/paper/Artificial-Intelligence-and-Deep-Learning%3A-The-of-Sanal-Paul/795dc72decfb12389bbf7076d82fef70421b9933

Hukal, P., Berente, N., Germonprez, M., & Schecter, A.. (2019). Bots Coordinating Work in Open Source Software Projects. Computer, 52(9), 52 - 60. https://doi.org/10.1109/MC.2018.2885970

Fügener, A., Grahl, J., Gupta, A., & Ketter, W.. (2019). Collaboration and delegation between humans and AI: An experimental investigation of the future of work. Ssrn Electronic Journal. https://doi.org/10.2139/ssrn.3368813

Fügener, A., Grahl, J., Gupta, A., & Ketter, W.. (2019). Collaboration and delegation between humans and AI: An experimental investigation of the future of work. Ssrn Electronic Journal. https://doi.org/10.2139/ssrn.3368813

Brinker, T. J., Hekler, A., Hauschild, A., Berking, C., Schilling, B., Enk, A., et al.. (2019). Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark. European Journal Of Cancer, 111, 30 - 37. https://doi.org/10.1016/j.ejca.2018.12.016

Brinker, T. J., Hekler, A., Enk, A., Klode, J., Hauschild, A., Berking, C., et al.. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005

Brinker, T. J., Hekler, A., Enk, A., Klode, J., Hauschild, A., Berking, C., et al.. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005

Brinker, T. J., Hekler, A., Enk, A., Klode, J., Hauschild, A., Berking, C., et al.. (2019). A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task. European Journal Of Cancer, 111, 148 - 154. https://doi.org/10.1016/j.ejca.2019.02.005

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