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Workshop on Transparency and Explanations in Smart Systems (TExSS)

Responsible, Explainable AI for Inclusivity and Trust

Held in conjunction with ACM Intelligent User Interfaces (IUI) 2022, March
20 - 22, University of Helsinki, Finland.

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. A large variety of 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 - e.g., because they are too
technically complex to be explained or are protected trade secrets. The
topics of transparency and accountability have attracted increasing interest
in recent years, aiming at  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 responsible, explainable AI taking
into account the diversity of the stakeholders involved, and ensuring trust
through system transparency. Furthermore, understanding users' fairness
perceptions especially when interacting with such systems (e.g. on how to
explain systems and models towards ensuring social justice and trust), will
lead into more effective system interactions, better reliability, improved
usability and user experience.

Suggested themes include, but are not limited to:

*	How can we build inclusive transparency and explanations of
algorithmic systems, particularly those that demonstrate that they are fair,
accountable, and not biased?
*	How different stakeholders perceive algorithmic fairness, especially
when interacting with AI enabled systems?
*	Through explanations, transparency, or other means, how can we raise
stakeholders' awareness of the potential risk for biases and social harms
that could result from developing and using intelligent interactive systems?
*	How do different groups of users (e.g. experts, developers,
end-users) perceive the explanations provided by those systems?
*	How can we build (good) algorithmic systems, particularly those that
demonstrate that they are fair and accountable?
*	When are the optimal points at which explanations are needed for
transparency?
*	What is important in user modeling for system transparency and
explanations?
*	What are possible metrics that can be used when evaluating
transparent systems and explanations?
*	How can we evaluate explanations and their ability to accurately
explain underlying algorithms and overall systems' behavior, especially for
the goals of fairness and accountability?
*	What techniques can we apply for testing models and assumptions of
transparent and explainable intelligent interactive systems, being mindful
of the potential for social and discriminatory harm?
*	How can explanations allow human evaluators to select model(s) that
are unbiased, such as by revealing traits or outcomes of the underlying
learned system?
*	What are important social aspects in interaction design for system
transparency and explanations?
*	How to account for stakeholders' diversity when designing and
evaluating transparency and explanations?

 

Researchers and practitioners in academia or industry who have an interest
in these areas are invited to submit papers up to 8 pages (not including
references) in ACM SIGCHI Paper Format (see
https://iui.acm.org/2022/call_for_papers.html). These submissions must be
original and relevant contributions. Examples include, but not limited to,
position papers summarizing authors' existing research in this area and how
it relates to the workshop theme, papers offering an industrial perspective
on the workshop theme or a real-world approach to the workshop theme, papers
that review the related literature and offer a new perspective, and papers
that describe work-in-progress research projects.

 

Papers should be submitted via Easychair

(https://easychair.org/conferences/?conf=texss2022) by the end of January
3rd 2022, and will be reviewed by committee members. Position papers do not
need to be anonymized. At least one author of each accepted position paper
must register for and attend the workshop. It is anticipated that accepted
contributions will be published in dedicated workshop proceedings. For
further questions please contact the workshop organizers at
<[log in to unmask] <mailto:[log in to unmask]> >. 

 

Paper authors will present their work as part of thematic panels followed by
smaller group activities related to the workshop theme. For more information
visit our website at  <https://explainablesystems.comp.nus.edu.sg/2022/>
https://explainablesystems.comp.nus.edu.sg/2022/

 

Important Dates

Submission date     Jan 3, 2022 

Notifications send      Jan 28, 2022

Camera-ready         Feb 9, 2022

Workshop Date       March 22, 2022

 

Organizing Committee

Tsvi Kuflik Information Systems, The University of Haifa, Haifa, Israel

Alison Smith-Renner Dataminr, United States

Styliani Kleanthous Loizou Cyprus Centre for Algorithmic Transparency, Open
University of Cyprus, Nicosia, Cyprus

Jonathan Dodge Oregon State University, Corvallis, Oregon, United States

Simone Stumpf University of Glasgow, Glasgow, United Kingdom

Min Kyung Lee University of Texas at Austin, Austin, Texas, United States

Brian Y Lim Department of Computer Science, National University of
Singapore, Singapore

Advait Sarkar Microsoft Research, Cambridge, United Kingdom

Avital Shulner-Tal Information Systems, The University of Haifa, Haifa,
Israel

Carina Negreanu Microsoft Research, United Kingdom

 

 

Tsvika

 

Tsvi Kuflik, PhD.

 Professor of Information Systems

  Co-chair of the Digital Humanities BSc program,

  Information Systems department,

  The University of Haifa

  Email:  <mailto:[log in to unmask]> [log in to unmask]

  Home page:  <https://tsvikak.hevra.haifa.ac.il>
https://tsvikak.hevra.haifa.ac.il

  Tel: +972 4 8288511

  Fax: +972 4 8288283



 


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