TExSS: Transparency and explanations in smart systems

Alison Marie Smith-Renner, Styliani Kleanthous, Jonathan Dodge, Casey Dugan, Min Kyung Lee, Brian Y. Lim, Tsvi Kuflik, Advait Sarkar, Avital Shulner-Tal, Simone Stumpf

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 provides 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, we 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.

Original languageEnglish
Title of host publication26th International Conference on Intelligent User Interfaces, IUI 2021 Companion
PublisherAssociation for Computing Machinery
Number of pages2
ISBN (Electronic)9781450380188
StatePublished - 14 Apr 2021
Event26th International Conference on Intelligent User Interfaces: Where HCI Meets AI, IUI 2021 - Virtual, Online, United States
Duration: 14 Apr 202117 Apr 2021

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI


Conference26th International Conference on Intelligent User Interfaces: Where HCI Meets AI, IUI 2021
Country/TerritoryUnited States
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2021 Owner/Author.


  • Accountability
  • Explanations
  • Fairness
  • Intelligent systems
  • Intelligibility
  • Machine learning
  • Transparency
  • Visualizations

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction


Dive into the research topics of 'TExSS: Transparency and explanations in smart systems'. Together they form a unique fingerprint.

Cite this