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Coleman Libraries and the Design of Human-Centered AI
1. Libraries and the Design
Of
Human-Centered Artificial Intelligence
Nicole Coleman
Digital Research Architect
NISO webinar, May 9, 2018
Trends in Technology: Smart Services in the Academic Library
2. References
Supasorn Suwajanakorn, Steven M. Seitz, and Ira Kemelmacher-Shlizerman. 2017. “Synthesizing Obama:
Learning Lip Sync from Audio.” ACM Trans. Graph. 36, 4, Article 95, July 2017.
Thies, Justus, et al. “Face2face: Real-time face capture and reenactment of rgb videos.” Computer Vision
and Pattern Recognition (CVPR), 2016 IEEE Conference on. IEEE, 2016.
Schreur, Philip Evan. "The academy unbound." Library Resources & Technical Services 56.4 (2012): 227-237.
Rajpurkar, Pranav, et al. "CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning." arXiv
preprint arXiv:1711.05225 (2017).
Arik, Sercan O., et al. "Deep voice: Real-time neural text-to-speech." arXiv preprint arXiv:1702.07825 (2017).
Deng, Jia et al. “Imagenet: A large-scale hierarchical image database.” Computer Vision and Pattern Recognition, 2009. CVPR
2009. IEEE Conference on. IEEE, 2009.
Krishna, Ranjay, et al. "Visual genome: Connecting language and vision using crowdsourced dense image
annotations." International Journal of Computer Vision 123.1 (2017): 32-73.
Li, Fei-Fei. “Opinion | How to Make A.I. That’s Good for People.” The New York Times, 7 Mar. 2018. NYTimes.com, https://
www.nytimes.com/2018/03/07/opinion/artificial-intelligence-human.html.
TEDx Talks. When Machines Have Ideas | Ben Vigoda | TEDxBoston. YouTube, https://www.youtube.com/watch?
time_continue=4&v=PCs3vsoMZfY. Accessed 9 May 2018.