[agents] [2nd CFP] Workshop Contestable AI @ IJCAI 2024

[Marija Slavkovik]

The Contestable AI workshop collocated with IJCAI 2024 seeks to push
the scientific progress in contestable AI by providing a forum in
which ongoing and new research on this topic can be presented and
discussed.  We invite previously unpublished submissions on the topics
of AI contestation that include but are not limited to:

Formal methods for objection and contestation of AI

Socio-technical instruments of contestation

Human objection to automous machine behaviour

Explainability and contestation

Accountability and contestation

Cognitive and psychological aspects of AI contestation

WORKSHOP WEBPAGE: https://sites.google.com/view/contestingai/

SUBMISSION INSTRUCTIONS (same as IJCAI2024 main track)
We welcome original unpublished contributions. Please use theLaTeX
styles and Word templates available at
https://www.ijcai.org/authors_kit


Papers must be no longer than 9 pages in total: 7 pages for the body
of the paper and 2 pages for references; an optional ethics statement
can be placed either in the body of the paper or in the reference
pages. For accepted papers, the last two pages can also contain
acknowledgements and an optional contribution statement.

We welcome well written papers that describe ongoing or early stage
work, but offer opportunity for an interesting discussion on the
topics of the workshop.

Submission link: https://easychair.org/my/conference?conf=caiijcai2024

IMPORTANT DATES

Submission Deadline: April 26, 2024.

Author notification: June 1st, 2024.


MOTIVATION
Accountability is a necessary property of Artificial Intelligence
research, development, procurement, deployment  and use.  When a
citizen directly interacts with an artificial intelligence agent, and
is experiencing difficulty or negative impact by that interaction,
accountability is there to guarantee that the AI agent is examined and
possibly adjusted. For accountability to exist there needs to be an
adequate socio-technical infrastructure to enforce it. In many regards
regulating AI is concerned with building this infrastructure. However,
a less explored aspect of the accountability relationship is the right
to the individual beneficiary to directly contest the behaviour and
specifically the decisions made by the AI agent.

Existing and in-development regulation, like for example Article 21 of
the GDPR  stipulates the right to appeal a decision. However, the
operationalisation of rights such as these is also an affordance by
the computational design of the AI agent, and it is our task to create
that affordance. Contestable AI is a very new field that studies how
to make AI systems open and responsive to human intervention
throughout their lifecycle, not only after the AI operation is
completed, e.g.,  automated decision has been made.


ORGANISING COMMITTEE
Virginia Dignum. University of Umeå, Sweden.
Andreas Theodorou. Universitat Politècnica de Catalunya ·
BarcelonaTech - UPC, Spain.
Juan Carlos Nieves, University of Umeå, Sweden.
Loizos Michael, Open University of Cyprus & CYENS Center of Excellence, Cyprus.
Marija Slavkovik, University of Bergen, Norway.
Juliett Suarez, University of Granada, Spain.


-- 
marija