• Natale, S., & Ballatore, A. (2017). Imagining the thinking machine. Convergence: The International Journal of Research into New Media Technologies, 135485651771516. https://doi.org/10.1177/1354856517715164
  • Metcalfe, J. S., Marathe, A. R., Haynes, B., Paul, V. J., Gremillion, G. M., Drnec, K., Atwater, C., Estepp, J. R., Lukos, J. R., Carter, E. C., & Nothwang, W. D. (2017). SPIE ProceedingsBuilding a framework to manage trust in automation. In T. George, A. K. Dutta, & S. Islam (Eds.), SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX (Vols. 10194, p. 101941U). SPIE. https://doi.org/10.1117/12.2264245
  • Guenole, N., & Feinzig, S. (2017). Evaluating Assessments in the Age of Big Data and AI. In IBM Talent Management Solutions. https://www.ibm.com/downloads/cas/D5GQD70R
  • Higgins, T. (2017). Elon Musk Lays Out Worst-Case Scenario for AI Threat. Wall Street Journal. https://www.wsj.com/articles/elon-musk-warns-nations-governors-of-looming-ai-threat-calls-for-regulations-1500154345
  • Salge, C., & Polani, D. (2017). Empowerment As Replacement for the Three Laws of Robotics. Frontiers in Robotics and AI, 4. https://doi.org/10.3389/frobt.2017.00025
  • Bhave, A. (Ed.). (2017). Machine Learning to Detect Anomalies from Application Logs. Druva. https://www.druva.com/blog/machine-learning-detect-anomalies-application-logs/
  • Benaich, N. (Ed.). (2017). 6 areas of AI and machine learning to watch closely. Medium . https://medium.com/@NathanBenaich/6-areas-of-artificial-intelligence-to-watch-closely-673d590aa8aa
  • Coward, C. (Ed.). (2017). AI AND THE GHOST IN THE MACHINE. HACKADAY. http://hackaday.com/2017/02/06/ai-and-the-ghost-in-the-machine/
  • Szymkowiak, T. (Ed.). (2017). DeepMind just published a mind blowing paper: PathNet. Medium. https://medium.com/mcgill-artificial-intelligence-review/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46