** TENTATIVE dates of the review cycle **
Submission deadline
December 15, 2019Report submission status to IUI workshop chairs
December 21, 2019Final go/no-go decision
January 2, 2019Camera-ready of workshop summary
January 14, 2019Notifications to authors
February 15, 2019Camera-ready of accepted papers
March 20, 2019Workshop date
In conjunction with the 24th International Conference on Intelligent User Interfaces (IUI 2019)
Los Angeles, CA, USA
March 17-20, 2019
http://iui.acm.org/
Christoph Trattner, University of Bergen, Norway
Denis Parra, Pontifical Catholic University, Chile
Nathalie Riche, Microsoft Research
Contact: workshop-iui2019@acm.org
IUI ATEC’s goal is to focus on three principles that describe approaches to combating algorithmic biases that can be applied by researchers, even without access to a given system’s inter-workings: - Awareness: Raise stakeholders’ awareness of the potential for biases and social harms that could result from developing and using a given analytic system. - Data provenance: Facilitate the exploration of the potential biases brought about by human and automated data gathering processes that are used to create training data for algorithmic systems. - Validation and testing of outputs: Develop rigorous techniques for testing models and assumptions used in analytic systems, evaluating the potential for social, discriminatory harm.
Organizers: