About the Workshop
Smart systems that apply complex reasoning to make decisions, such as decision support or recommender systems, are difficult for people to understand. Algorithms allow the exploitation of rich and varied data sources, in order to support human decision-making; however, there are increasing concerns surrounding their fairness, bias, and accountability, as these processes are typically opaque to users. Transparency and accountability have attracted increasing interest toward more effective system training, better reliability, appropriate trust, and improved usability. The workshop on Transparency and Explanations in Smart Systems (TExSS) will provides a venue for exploring issues when designing, developing, or evaluating transparent intelligent user interfaces, with additional focus on explaining systems and models toward ensuring fairness and social justice.
This workshop was preceded by the joint workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies (ExSS-ATEC 2020), 2nd Workshop on Explainable Smart Systems (ExSS 2019), and the 2nd International Workshop on Intelligent User Interfaces for Algorithmic Transparency in Emerging Technologies (IUI-ATEC 2019).
April 13th 2pm to 6pm BST
|2:00 – 2:10||Welcome|
|2:10 – 2:40||Best Paper Presentation
|2:40 – 3:00||Speed Dating|
|3:10 – 3:40||Panel 1: Fairness and Measuring Perceptions
|3:40 – 4:10||Panel 2: Explaining to Differing Stakeholders
|4:10 – 4:20||Break|
|4:20 – 4:50||Panel 3: Explanations for Interactive ML Systems
|4:50 – 5:10||Poster Madness
|5:10 – 5:50||Group Activity: Moderated Discussion of Themes|
|5:50 – 6:00||Closing|