Title
ExSS-ATEC: Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies 2020
Abstract
Smart systems that apply complex reasoning to make decisions and plan behavior, such as decision support systems and personalized recommendations, are difficult for users to understand. Algorithms allow the exploitation of rich and varied data sources, in order to support human decision-making and/or taking direct actions; however, there are increasing concerns surrounding their transparency and accountability, as these processes are typically opaque to the user. Transparency and accountability have attracted increasing interest to provide more effective system training, better reliability and improved usability. This workshop will provide a venue for exploring issues that arise in designing, developing and evaluating intelligent user interfaces that provide system transparency or explanations of their behavior. In addition, our goal is to focus on approaches to mitigate algorithmic biases that can be applied by researchers, even without access to a given system's inter-workings, such as awareness, data provenance, and validation.
Year
DOI
Venue
2020
10.1145/3379336.3379361
IUI '20: 25th International Conference on Intelligent User Interfaces Cagliari Italy March, 2020
Keywords
DocType
ISBN
Explanations, visualizations, machine learning, intelligent systems, intelligibility, transparency, fairness, accountability
Conference
978-1-4503-7513-9
Citations 
PageRank 
References 
1
0.39
0
Authors
9
Name
Order
Citations
PageRank
Alison Smith-Renner110.39
Styliani Kleanthous22612.26
Brian Y. Lim332723.95
Tsvi Kuflik41280111.75
Simone Stumpf546832.52
Jahna Otterbacher670351.92
advait sarkar727.83
Casey Dugan887060.79
Avital Shulner910.39