Jensen, Benjamin M, et al. “Algorithms at War: The Promise, Peril, and Limits of Artificial Intelligence”. 2020. International Studies Review, 2019, doi:10.1093/isr/viz025.
Saravi, Sara, et al. “Use of Artificial Intelligence to Improve Resilience and Preparedness Against Adverse Flood Events”. 2019. Water, vol. 11, no. 5, 2019, p. 973, doi:10.3390/w11050973.
Flynn, Allen. “Using Artificial Intelligence in Health-System Pharmacy Practice: Finding New Patterns That Matter”. 2020. American Journal of Health-System Pharmacy, vol. 76, no. 9, 2019, pp. 622-7, doi:10.1093/ajhp/zxz018.
Vincent, James. “Google’s Head of Translation on Fighting Bias in Language and Why AI Loves Religious Texts”. The Verge, 2019, https://www.theverge.com/2019/1/30/18195909/google-translate-ai-machine-learning-bias-religion-macduff-hughes-interview.
Maddox, Thomas M., et al. “Questions for Artificial Intelligence in Health Care”. 2019. JAMA, vol. 321, no. 1, 2019, p. 31, doi:10.1001/jama.2018.18932.
Cuthbertson, Anthony. “Artificial Intelligence Conquers Starcraft II in ’unimaginably Unusual’ AI Breakthrough”. Independent, 2019, https://www.independent.co.uk/life-style/gadgets-and-tech/gaming/artificial-intelligence-starcraft-2-ai-deepmind-a9176601.html.
Harwell, Drew. “As Walmart Turns to Robots, It’s the Human Workers Who Feel Like Machines”. 2019. The Washington Post, 2019, https://www.washingtonpost.com/technology/2019/06/06/walmart-turns-robots-its-human-workers-who-feel-like-machines/.
Nichols, James A., et al. “Applications of Artificial Intelligence to Imaging and Diagnosis”. 2019. Biophysical Reviews, vol. 11, no. 1, 2019, pp. 111-8, doi:10.1007/s12551-018-0449-9.
Chan, Stephen, and Eliot L Siegel. “Will Machine Learning End the Viability of Radiology As a Thriving Medical Specialty?”. 2019. The British Journal of Radiology, vol. 92, no. 1094, 2019, p. 20180416, doi:10.1259/bjr.20180416.
Smith, Zachary. “Blame the Boss, Not the Robot”. 2020. New Labor Forum, vol. 28, no. 2, 2019, pp. 66-69, doi:10.1177/1095796019837947.