Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence


  • Guy Barash Western Digital
  • Mauricio Castillo-Effen Lockheed Martin
  • Niyati Chhaya Adobe Research
  • Peter Clark Allen Institute for Artificial Intelligence
  • Huáscar Espinoza Commissariat à l´Énergie Atomique, France
  • Eitan Farchi IBM Research, Haifa
  • Christopher Geib SIFT LLC
  • Odd Erik Gundersen TrønderEnergi AS
  • Seán Ó. hÉigeartaigh Cambridge University
  • José Hernández-Orallo Universitat Politècnica de València
  • Chiori Hori Mitsubishi Electric Research Laboratories
  • Xiaowei Huang University of Liverpool
  • Kokil Jaidka Nanyang Tech University
  • Pavan Kapanipathi IBM Research AI
  • Sarah Keren Harvard University
  • Seokhwan Kim Adobe Research
  • Marc Lanctot DeepMind Alberta
  • Danny Lange Unity
  • Julian McAuley University of California, San Diego
  • David R. Martinez MIT Lincoln Laboratory
  • Marwan Mattar Unity Technologies
  • Mausam Indian Institute of Technology Delhi
  • Martin Michalowski University of Minnesota School of Nursing
  • Reuth Mirsky University of Texas
  • Roozbeh Mottaghi Allen Institute for Artificial Intelligence
  • Joseph Osborn Pomona College
  • Julien Perolat DeepMind UK
  • Martin Schmid DeepMind Alberta
  • Arash Shaban-Nejad University of Tennessee Health Science Center
  • Onn Shehory Bar Ilan University
  • Biplav Srivastava IBM Armonk
  • William Streilein MIT Lincoln Laboratory
  • Kartik Talamadupula IBM Research AI
  • Julian Togelius New York University
  • Koichiro Yoshino Nara Institute of Science and Technology
  • Quanshi Zhang Shanghai Jiao Tong University
  • Imed Zitouni Microsoft



The workshop program of the Association for the Advancement of Artificial Intelligence’s 33rd Conference on Artificial Intelligence (AAAI-19) was held in Honolulu, Hawaii, on Sunday and Monday, January 27–28, 2019. There were fifteen workshops in the program: Affective Content Analysis: Modeling Affect-in-Action, Agile Robotics for Industrial Automation Competition, Artificial Intelligence for Cyber Security, Artificial Intelligence Safety, Dialog System Technology Challenge, Engineering Dependable and Secure Machine Learning Systems, Games and Simulations for Artificial Intelligence, Health Intelligence, Knowledge Extraction from Games, Network Interpretability for Deep Learning, Plan, Activity, and Intent Recognition, Reasoning and Learning for Human-Machine Dialogues, Reasoning for Complex Question Answering, Recommender Systems Meet Natural Language Processing, Reinforcement Learning in Games, and Reproducible AI. This report contains brief summaries of the all the workshops that were held.

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How to Cite

Barash, G., Castillo-Effen, M., Chhaya, N., Clark, P., Espinoza, H., Farchi, E., Geib, C., Gundersen, O. E., hÉigeartaigh, S., Hernández-Orallo, J., Hori, C., Huang, X., Jaidka, K., Kapanipathi, P., Keren, S., Kim, S., Lanctot, M., Lange, D., McAuley, J., Martinez, D. ., Mattar, M., Mausam, Michalowski, M., Mirsky, R., Mottaghi, R., Osborn, J., Perolat, J., Schmid, M., Shaban-Nejad, A., Shehory, O., Srivastava, B., Streilein, W., Talamadupula, K., Togelius, . J., Yoshino, K., Zhang, Q., & Zitouni, I. (2019). Reports of the Workshops Held at the 2019 AAAI Conference on Artificial Intelligence. AI Magazine, 40(3), 67-78.



Workshop Reports