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Styliani Kleanthous Loizou <[log in to unmask]>
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Styliani Kleanthous Loizou <[log in to unmask]>
Fri, 16 Nov 2018 12:18:39 +0200
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Apologies for cross-postings


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.

Important Dates
Submission date  Dec 14, 2018
Notifications send   Jan 14, 2019
Camera-ready      Feb 15, 2019
Workshop Date    March 20, 2019

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:

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

In IUI-ATEC 2019 we encourage original and relevant contributions focusing
on experiences and lessons learned from real-life applications, current
state-of-the-art methodologies, challenges tackled, and solutions adopted,
tools, algorithms, and services in the academic, public or private sector,
studies, theories, techniques, and evaluation procedures that could support
human-centered adaptation and personalization issues in various levels of
interactive environments. All workshop papers must contain original,
previously unpublished, research work abiding the two publication types:

- Research papers (up to 10 pages long excl. references), presenting work
in progress, lessons learnt, positions, emerging or future research issues
and directions on Algorithmic Transparency issues related to the design of
- Posters: Each accepted paper will also be presented as a poster during
the coffee break/lunch at the conference. This is to allow maximum
visibility of your work.
- Demos: We are particularly interested in demos coming from industry
proposing novel interface designs addressing AT.

Manuscripts should be formatted using the ACM Standard (SIGCONF) templates (

All papers will undergo a peer review process by at least two expert
reviewers to ensure a high quality. Referees will consider originality,
significance, technical soundness, clarity of exposition, and relevance to
the workshop’s topics. Papers should be submitted electronically as a
single PDF file through the
EasyChair submission system:

Organizing Committee
Styliani Kleanthous, Cyprus Center for Algorithmic Transparency - Open
University of Cyprus  and RISE Research Centre, Cyprus
Tsvi Kuflik, University of Haifa, Israel
Jahna Otterbacher,  Cyprus Center for Algorithmic Transparency - Open
University of Cyprus  and RISE Research Centre, Cyprus
Alan Hartman, University of Haifa, Israel
Casey Dougan, IBM Research, Cambridge, USA
Veronika Bogina, University of Haifa, Israel

On behalf of the organizing Committee,

Styliani Kleanthous
Cyprus Center for Algorithmic Transparency - Open University of Cyprus  &
RISE Research Centre, Cyprus


Styliani Kleanthous, Ph.D

CyCAT - Cyprus Center for Algorithmic Transparency

Open University of Cyprus

Phone: 22411904

web: <http://http/>


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