AI Bibliography

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Abbass, H. A. (2019). Social integration of artificial intelligence: Functions, automation allocation logic and human-autonomy trust. Cognitive Computation, 11(2), 159–171.  
6/21/21, 11:26 AM
Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (xai). IEEE Access, 6, 52138–52160.  
6/29/20, 4:09 PM
Alberts, D. S., & Hayes, R. E. (2003). Power to the edge: Command... control... in the information age Office of the Assistant Secretary of Defense Washington DC Command and~….  
2/22/22, 10:00 AM
Balzarini, R., & Jambon, F. 2018, From map to sky: An empirical study on visual strategies of expert pilots. Paper presented at Eye Tracking for Spatial Research, Proceedings of the 3rd International Workshop.  
10/15/20, 4:15 PM
Benton, J., Smith, D. E., Kaneshige, J., Keely, L., & Stucky, T. 2018, Chap-e: A plan execution assistant for pilots.. Paper presented at ICAPS.  
10/15/20, 5:07 PM
Bertossi, L., & Geerts, F. (2020). Data quality and explainable ai. Journal of Data and Information Quality (JDIQ), 12(2), 1–9.  
7/22/20, 4:04 PM
Borgefalk, G., & de Leon, N. 2019, The ethics of persuasive technologies in pervasive industry platforms: The need for a robust management and governance framework. Paper presented at International Conference on Persuasive Technology.  
9/21/20, 2:40 PM
Bosch, K., & Bronkhorst, A. 2018, Human-ai cooperation to benefit military decision making. Paper presented at Proceedings of the NATO IST-160 Specialist'meeting on Big Data and Artificial Intelligence for Military Decision Making, Bordeaux, F, 30 May-1 June 2018, S3-1/1-S3-1/12.  
6/29/20, 2:34 PM
Broussard, M. (2018). Artificial unintelligence: How computers misunderstand the world. MIT Press.  
11/16/22, 12:17 PM
Brown, L. (2019). Augmented reality in international pilot training to meet training demands. Univ of Michigan.  
10/15/20, 5:33 PM
Brynjolfsson, E., & Mitchell, T. (2017). What can machine learning do? workforce implications. Science, 358(6370), 1530–1534.  
11/16/22, 3:54 PM
Buccinca, Z., Malaya, M. B., & Gajos, K. Z. (2021). To trust or to think: Cognitive forcing functions can reduce overreliance on ai in ai-assisted decision-making. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW1), 1–21.  
7/13/23, 6:56 PM
Burton, J. W., Stein, M.-K., & Jensen, T. B. (2020). A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making, 33(2), 220–239.  
10/13/20, 9:29 AM
Cerrato, P., & Halamka, J. (2020). Reinventing clinical decision support: Data analytics, artificial intelligence, and diagnostic reasoning. Taylor & Francis.  
10/15/20, 4:48 PM
Chakraborti, T., Sreedharan, S., & Kambhampati, S. (2020). The emerging landscape of explainable ai planning and decision making. arXiv preprint arXiv:2002.11697.  
7/22/20, 4:12 PM
Chakraborty, A. (2020). Technology to combat cyber attacks by artificial intelligence. International Journal of Progressive Research in Science and Engineering, 1(3), 149–153.  
9/21/20, 2:29 PM
Chatzimparmpas, A., Martins, R. M., Jusufi, I., Kucher, K., Rossi, F., & Kerren, A. 2020, The state of the art in enhancing trust in machine learning models with the use of visualizations. Paper presented at Computer Graphics Forum.  
11/15/22, 1:29 PM
Cho, J. E., & Hu, H. (2009). The effect of service quality on trust and commitment varying across generations. International journal of consumer studies, 33(4), 468–476.  
11/16/22, 3:58 PM
Claverie, B. 2022. What is cognition? and how to make it one of the ways of the war?. NATO Collaboration Support Office.  
11/17/23, 3:07 PM
Clay, V., K"onig, P., & K"onig, S. U. (2019). Eye tracking in virtual reality. Journal of Eye Movement Research, 12(1).  
10/15/20, 4:10 PM
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