Status message

The page style have been saved as White/Black.

Papers

Export 11 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
H
Hoc, J. - M. (2000). From human – machine interaction to human – machine cooperation. Ergonomics, 43(7), 833 - 843. https://doi.org/10.1080/001401300409044
Hill, J., W. Ford, R., & Farreras, I. G.. (2015). A comparison between human–human online conversations and human–chatbot conversations. Computers In Human Behavior, 49, 245 - 250. https://doi.org/10.1016/j.chb.2015.02.026
Reddy, S. (2018). eHealth - Making Health Care SmarterUse of Artificial Intelligence in Healthcare Delivery (T. F. Heston, Ed.). https://doi.org/http://dx.doi.org/10.5772/intechopen.74714
Herzenberg, S., & Alic, J.. (2019). Towards an AI economy that works for all. In Keystone Research Center Future of Work Project sponsored by The Heinz Endowments. Retrieved de https://www.keystoneresearch.org/sites/default/files/FOW_TowardAIEconomyForAllFinalEdit.pdf
Hershbein, B. (2018). Discussion for JME special issue: APST paper. Journal Of Monetary Economics, 97, 68 - 70. https://doi.org/10.1016/j.jmoneco.2018.05.003
Helbing, D. (2018). Machine intelligence: Blessing or curse? It depends on us! (pp. 25 - 39; D. Helbing, Ed.). In (pp. 25 - 39). https://doi.org/10.1007/978-3-319-90869-4_4
J. Heberling, M., & Isaac, B. L.. (2018). iNaturalist as a tool to expand the research value of museum specimens. Applications In Plant Sciences, 6(11), e01193. https://doi.org/10.1002/aps3.1193
He, E. (2018). Can artificial intelligence make work more human?. Strategic Hr Review, 17(5), 263 - 264. https://doi.org/10.1108/SHR-10-2018-146
H. Harvey, B., & Gowda, V.. (2020). How the FDA regulates AI. Academic Radiology, 27(1), 58 - 61. https://doi.org/10.1016/j.acra.2019.09.017
Harini, B. (2019). An Extensive Review on Recent Emerging Applications of Artificial Intelligence. Asia-Pacific Journal Of Convergent Research Interchange, 5(2), 79 - 88. https://doi.org/10.21742/apjcri10.21742/apjcri.2019.0610.21742/apjcri.2019.06.09
Harandi, M., Crowston, K., Jackson, C., & Østerlund, C.. (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719
PDF icon Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)
Hanley, D. (2018). Comment on “Should we fear the robot revolution? (The correct answer is yes)” by Andrew Berg, Ed Buffie, and Felipe Zanna. Journal Of Monetary Economics, 97, 149 - 152. https://doi.org/10.1016/j.jmoneco.2018.05.012
Hager, P., & Beckett, D.. (2019). The emergence of complexity. https://doi.org/10.1007/978-3-030-31839-0
Haenlein, M., & Kaplan, A.. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5 - 14. https://doi.org/10.1177/0008125619864925
Hadorn, G. Hirsch, Hoffmann-Riem, H., Biber-Klemm, S., Grossenbacher-Mansuy, W., Joye, D., & Pohl, C.. (2008). Handbook of transdisciplinary research (pp. 427 - 432). In (pp. 427 - 432). https://doi.org/10.1007/978-1-4020-6699-3_28
J. Hackman, R., & Oldham, G. R.. (1980). Work Redesign. Reading, MA: Addison-Wesley.

Pages