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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

Mutual learning in human-AI interaction , Carsten Østerlund; Kevin Crowston; Casey B. Jackson; Marlene Takou-Ayaoh; Yunan Wu; Aggelos K. Katsaggelos
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

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2017

Shestakofsky, B. (2017). Working algorithms: Software automation and the future of work. Work And Occupations, 44(4), 376 - 423. https://doi.org/10.1177/0730888417726119

2016

ARTIFICIAL INTELLIGENCE AND LIFE IN 2030. (2016). ARTIFICIAL INTELLIGENCE AND LIFE IN 2030. Retrieved de https://ai100.stanford.edu/sites/g/files/sbiybj9861/f/ai_100_report_0831fnl.pdf

Land-Zandstra, A. M., Devilee, J. L. A., Snik, F., Buurmeijer, F., & van den Broek, J. M.. (2016). Citizen science on a smartphone: Participants’ motivations and learning. Public Understanding Of Science, 25(1), 45 - 60. https://doi.org/10.1177/0963662515602406

Edwards, C., Beattie, A. J., Edwards, A., & Spence, P. R.. (2016). Differences in perceptions of communication quality between a Twitterbot and human agent for information seeking and learning. Computers In Human Behavior, 65, 666 - 671. https://doi.org/10.1016/j.chb.2016.07.003

Storey, M. - A., & Zagalsky, A.. (2016). Disrupting developer productivity one bot at a time (T. Zimmermann, Cleland-Huang, J., & Su, Z., Trans.). In the 2016 24th ACM SIGSOFT International SymposiumProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2016 (928 - 931). https://doi.org/10.1145/2950290.2983989

Storey, M. - A., & Zagalsky, A.. (2016). Disrupting developer productivity one bot at a time (T. Zimmermann, Cleland-Huang, J., & Su, Z., Trans.). In the 2016 24th ACM SIGSOFT International SymposiumProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2016 (928 - 931). https://doi.org/10.1145/2950290.2983989

Döppner, D. A., Schoder, D., Gregory, R. Wayne, & Siejka, H.. (2016). Exploring design principles for human-machine symbiosis: Insights from constructing an air transportation logistics artifact. In Computer Science. Retrieved de https://www.semanticscholar.org/paper/Artificial-Intelligence-and-its-Role-in-Near-Future-Shabbir-Anwer/b93d9995f9ce3b15f4c4855ae62f0bf6f9bc041f

Döppner, D. A., Schoder, D., Gregory, R. Wayne, & Siejka, H.. (2016). Exploring design principles for human-machine symbiosis: Insights from constructing an air transportation logistics artifact. In Computer Science. Retrieved de https://www.semanticscholar.org/paper/Artificial-Intelligence-and-its-Role-in-Near-Future-Shabbir-Anwer/b93d9995f9ce3b15f4c4855ae62f0bf6f9bc041f

Schrage, M. (2016). If you're not collecting productivity data, you'll never succeed at work. Havard Business Review. Retrieved de https://hbr.org/2016/02/if-youre-not-collecting-productivity-data-youll-never-succeed-at-work

2015

Shabbir, J., & Anwer, T.. (2015). Artificial Intelligence and its Role in Near Future. Retrieved de https://www.semanticscholar.org/paper/Artificial-Intelligence-and-its-Role-in-Near-Future-Shabbir-Anwer/b93d9995f9ce3b15f4c4855ae62f0bf6f9bc041f

Gombolay, M. C., Gutierrez, R. A., Clarke, S. G., Sturla, G. F., & Shah, J. A.. (2015). Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams. Autonomous Robots, 39(3), 293 - 312. https://doi.org/10.1007/s10514-015-9457-9

Gombolay, M. C., Gutierrez, R. A., Clarke, S. G., Sturla, G. F., & Shah, J. A.. (2015). Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams. Autonomous Robots, 39(3), 293 - 312. https://doi.org/10.1007/s10514-015-9457-9

Pyle, D., & San Jose, C.. (2015). An executive’s guide to machine learning. Mckinsey Quarterly. Retrieved de https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/an-executives-guide-to-machine-learning

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.

Caruana, R., Lou, Y., Gehrke, J., Koch, P., Sturm, M., & Elhadad, N.. (2015). Intelligible Models for HealthCare (L. Cao, Zhang, C., Joachims, T., Webb, G., Margineantu, D. D., & Williams, G., Trans.). In the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 (1721 - 1730). https://doi.org/10.1145/278325810.1145/2783258.2788613

Tomic, S., Pecora, F., & Saffotti, A.. (2015). Norms, institutions and robots. Journal Of Latex Class Files, 14. Retrieved de https://arxiv.org/abs/1807.11456

2014

Qureshi, M. Owais, & Syed, R. Sajjad. (2014). The impact of robotics on employment and motivation of employees in the service sector, with special reference to health care. Safety And Health At Work, 5(4), 198 - 202. https://doi.org/10.1016/j.shaw.2014.07.003

Edwards, C., Edwards, A., Spence, P. R., & Shelton, A. K.. (2014). Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter. Computers In Human Behavior, 33, 372 - 376. https://doi.org/10.1016/j.chb.2013.08.013

Edwards, C., Edwards, A., Spence, P. R., & Shelton, A. K.. (2014). Testing the differences in perceptions of communication quality for a human agent and a bot agent on Twitter. Computers In Human Behavior, 33, 372 - 376. https://doi.org/10.1016/j.chb.2013.08.013

Fiore, S. M., Philips, E., & Sellers, B. C.. (2014). A transdisciplinary perspective on hedonomic sustainability design. Economics In Design. https://doi.org/10.1177%2F1064804613516762

2013

Phua, C., Lee, V., Smith, K., & Gayler, R.. (2013). A Comprehensive Survey of Data Mining-based Fraud Detection Research. Retrieved de https://arxiv.org/ftp/arxiv/papers/1009/1009.6119.pdf

Sharp, P. A., & Langer, R.. (2013). The convergence of engineering and the life sciences. National Academy Of Engineering, 43(3). Retrieved de https://www.nae.edu/88364/The-Convergence-of-Engineering-and-the-Life-Sciences

Anderson, R. J., & Sharrock, W. W.. (2013). Ethical algorithms. —Horizon Digital Economy, (Post Modernism, Technology and Social Science). Retrieved de https://www.sharrockandanderson.co.uk/wp-content/uploads/2017/04/Ethical-Algorithms.pdf

Kittur, A., Nickerson, J. V., Bernstein, M. S., Gerber, E., Shaw, A., Zimmerman, J., et al.. (2013). The future of crowd work. In Proceedings of the 2013 conference on Computer supported cooperative work (1301–1318). ACM.

Beaudry, P., Green, D., & Sand, B.. (2013). The great reversal in the demand for skill and cognitive tasks. https://doi.org/10.3386/w18901

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