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ACM SIGACCESS Accessibility and Computing, Volume 125
Volume 125, March 2020
- Shari Trewin, Meredith Ringel Morris, Stacy M. Branham, Walter S. Lasecki, Shiri Azenkot, Nicole B. Ellison, Phil Jenkins, Jeffrey P. Bigham:
Workshop on AI fairness for people with disabilities. 1 - Anhong Guo, Ece Kamar, Jennifer Wortman Vaughan, Hanna M. Wallach, Meredith Ringel Morris:
Toward fairness in AI for people with disabilities SBG@a research roadmap. 2 - Jason J. G. White:
Fairness of AI for people with disabilities. 3 - Sushant Kafle, Abraham Glasser
, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, Matt Huenerfauth
:
Artificial intelligence fairness in the context of accessibility research on intelligent systems for people who are deaf or hard of hearing. 4 - Cynthia L. Bennett, Os Keyes:
What is the point of fairness? 5 - Christine T. Wolf, Kathryn E. Ringland:
Designing accessible, explainable AI (XAI) experiences. 6 - Shea Tanis, Clayton Lewis:
Artificial intelligence and the dignity of risk. 7 - Leah Findlater, Steven Goodman, Yuhang Zhao, Shiri Azenkot, Margot J. Hanley:
Fairness issues in AI systems that augment sensory abilities. 8 - Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl:
Unintended machine learning biases as social barriers for persons with disabilitiess. 9 - Howard Kramer:
Preliminary results from a survey to measure the benefits of accessibility and universal design topics in course curricula. 10
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