We are please to announce the 1st International Workshop on Intelligent User Interfaces for Algorithmic Transparency in Emerging Technologies to be held in conjunction with the 24th International Conference on Intelligent User Interfaces (ACM IUI 2019), 17-20 March 2019 in Los Angeles, USA.

IUI-ATEC 2019 will be sponsored and supported by the Cyprus Center for Algorithmic Transparency (CyCAT)

About IUI-ATEC Concept

Computer algorithms and analytics play an increasing role in citizens’ lives, as they underlie popular information services and “smart” technologies, which are rapidly being adopted across sectors of society. 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. There is growing recognition that even when designers and engineers have the best of intentions, systems relying on algorithmic processes can inadvertently result in serious consequences in the social world, such as biases in their outputs that can result in discrimination against individuals and/or groups of people. Furthermore, many people are completely unaware of, or not able the understand the algorithms that mediate their interactions, even in systems they use daily.

A key issue is that many algorithmic processes are opaque to the user – e.g., because they are too technically complex to be explained and/or are protected trade secrets. The EU has even gone as far as mandating explanations be provided on demand in algorithmic decision-making. Given these considerations, the intelligent systems community needs to focus on user tools (both technical and educational) to help them become aware of algorithmic processes in the systems they use.

As User interfaces are the meeting point between the user and a computerized system’s algorithms, and since for many users they represent the system and its capabilities, they should also make the system and its reasoning transparent to the end user..

IUI ATEC’s goal is to focus on three principles that describe approaches to combating algorithmic biases that can be applied by researchers, even without access to a given system’s inter-workings: – Awareness: Raise stakeholders’ awareness of the potential for biases and social harms that could result from developing and using a given analytic system. – Data provenance: Facilitate the exploration of the potential biases brought about by human and automated data gathering processes that are used to create training data for algorithmic systems. – Validation and testing of outputs: Develop rigorous techniques for testing models and assumptions used in analytic systems, evaluating the potential for social, discriminatory harm.

Naturally, the user interface is where and how the Algorithmic Transparency (AT) should occur and the challenge we aim at is how intelligent user interfaces can make a system transparent to its users.

Topics of interest include, but are not limited to:

  • Interaction design for AT
  • User Modelling for AT
  • Algorithmic Transparency in recommender systems
  • Social aspects in interaction design for AT
  • Biases in the Intelligent User Interfaces design
  • Transparency in Testing Intelligent User Interfaces


A selected set of accepted top quality papers will be invited to submit their extended versions for publication in the UMUAI Special Issue on Fair, Accountable, and Transparent Recommender Systems.

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