DAC's Alison Smith-Renner to Host ExSS Workshop at ACM IUI 2019

Explainable Smart Systems (ExSS) workshop will be held on March 20th in conjunction with the 2019 ACM IUI conference.

Explainable Smart Systems (ExSS) workshop will be held on March 20th in conjunction with the 2019 ACM IUI conference.

Next week, Decisive Analytics’ Alison Smith-Renner; along with her teammates Brian Lim, Advait Sarkar, and Simone Stumpf; will be hosting their workshop on Explainable Smart Systems (ExSS) at the ACM Intelligent User Interfaces (IUI) 2019 conference in Los Angeles. This year’s ACM IUI marks the 24th annual meeting of the intelligent interfaces community where human-computer interaction meets artificial intelligence.

Held on March 20th, ExSS 2019 will follow on the success of last year’s ExSS workshop in bringing together researchers in academia and industry who have an interest in making smart systems explainable to users and therefore more intelligible and transparent. Featuring a keynote presentation from Margaret Burnett from Oregon State University, the ExSS workshop will provide a venue for exploring issues that arise in designing, developing and evaluating smart systems that use or provide explanations of their behavior.

For more information on her workshop, please visit http://explainablesystems.comp.nus.edu.sg/2019/

 

 
Alison Smith-Renner is an Interactive Machine Learning Engineer at Decisive Analytics Corporation and is currently earning her Ph.D. in Computer Science from the University of Marlyand

Alison Smith-Renner is an Interactive Machine Learning Engineer at Decisive Analytics Corporation and is currently earning her Ph.D. in Computer Science from the University of Marlyand

Alison Smith-Renner has been with DECISIVE ANALYTICS Corporation’s Analytic Technologies Sector for nearly 10 years. She has a unique background in data visualization and user interface design and development.  She earned her Bachelor of Science in Mathematics and Computer Science from the College of William and Mary and completed her Master’s degree in Computer Science from the University of Maryland. Mrs. Smith-Renner is currently completing her Ph.D. in Computer Science with a focus in Machine Learning and Human-Computer Interaction techniques for big data.

In addition to hosting this workshop, she recently had her article, “Uncertainty in Current and Future Health Wearables” published in Communications of the ACM. Written with her colleagues Bran Knowles, Forough Poursabzi-Sangdeh, Di Lu, and Halimat Alabi, the article explores the implications of, and difficulties in designing for, uncertainties regarding health wearables. To read that article, please visit, https://cacm.acm.org/magazines/2018/12/232877-uncertainty-in-current-and-future-health-wearables/fulltext#