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Styliani Kleanthous <[log in to unmask]>
Mon, 16 Nov 2020 11:02:09 +0200
text/plain (81 lines)
Apologies for cross posting.
Please circulate to your students and other mailing lists that could
find this interesting.

We invite participation at the CyCAT's FATE in AI Winter School
<https://sites.google.com/view/cycat-winter-school/home> that will be
taking place online between 11-15 January 2021.

The Winter School: Fairness, Accountability, Transparency and Ethics (FATE)
in AI aims to cover topics related to AI systems and promote the
multidisciplinarity of FATE, with an emphasis on human-centered AI.
Participants will benefit from understanding the diverse perspectives of
others involved in the above topics.

The FATE in AI Winter School is targeting Postgraduate students at Masters
and PhD levels, and early career postdoctoral researchers. The disciplines
of the students and researchers we are aiming to attract can be aligned,
but not necessarily limited to the following:

   - Human Computer Interaction
   - Data Science
   - Information Systems
   - Cognitive Systems
   - Computer Science

The aim is for the participants to be exposed to the issues of FATE in AI
from different angles e.g. from the developer’s point of view, or that of
the data scientist, user interface and interaction designer etc., as well
as the ethical implications of their decisions when designing, developing,
or auditing an AI system or tool. This will provide the participants the
opportunity to have a more holistic idea of where biases might occur during
the process of developing an intelligent system and deploying it for use.
Aligned with the ACM principles for Algorithmic Transparency and
Accountability, and ACM Code of Ethics, this winter school aims to support
the benefits of AI systems while examining the issues that accompany their
opaqueness.

The goal of the FATE in AI Winter School is to bring people into a holistic
environment, with participants, as well as speakers, coming from different
disciplines, allowing them to get a different perspective than the one they
hold, which will result in new insights on the topics of FATE. Our
objective is to educate participants, broaden their knowledge and emphasize
the importance of FATE topics by gaining the experience and creating
resources for providing awareness. The knowledge participants’ gained will
be demonstrated through the hands-on activities and potential synergies
under projects they will be working during and after the winter school and
especially during the last two days.

For more information and for registration please visit the FATE in AI
Winter School
<https://sites.google.com/view/cycat-winter-school/home?authuser=0>website
or CyCAT's <http://www.cycat.io/events/> website.

This winter school is one of the planned activities of the EU-H2020 funded
Twinning project CyCAT (Cyprus Center for Algorithmic Transparency, Grant
Agreement No. 810105).

-- 



Styliani Kleanthous, Ph.D

CyCAT - Cyprus Center for Algorithmic Transparency

Open University of Cyprus

Phone: 22411904

web: http://www.cycat.io

LinkedIn: https://www.linkedin.com/in/styliani-kleanthous/

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