[iva] Deadline EXTENSION - Call for papers, IVA workshop REACT: viRtual agEnts Against disCriminaTion

Magalie Ochs magalie.ochs at lis-lab.fr
Tue Jul 2 18:34:37 CEST 2024


> https://react.lis-lab.fr/ <https://react.lis-lab.fr/>
>
>
> Aim of the workshop.
>
> Intelligent Virtual Agents are increasingly used to embody roles 
> potentially involving strong socio-emotional relationships, such as 
> friends, companions, or therapists. As IVAs enter society, they should 
> act ethically toward humans.
>
>
> The workshop objective is to gather researchers and developers of IVAs 
> to discuss and identify the ethical issues in the modelization, 
> implementation, and evaluation of IVAs to prevent discrimination. We 
> consider all types of discrimination (gender, race, age, disabilities, 
> etc.). At the workshop, we aim to investigate different aspects by 
> exploring the risks and benefits of IVAs concerning discrimination.
>
>
> The workshop’s objective is to learn about each other’s work and 
> collaboratively address challenges in particular concerning:
>
>  *
>
>     the present and prospective risks of IVAs in terms of discrimination;
>
>  *
>
>     the present and prospective benefits of using IVAs to prevent
>     discrimination;
>
>  *
>
>     guidelines and principles on how IVAs should behave and be used,
>     and the study of the potential socio-cultural biases behind such
>     guidelines;
>
>  *
>
>     guidelines and principles on how to model the appearance and
>     behavior of IVAs to prevent bias, stereotypes, and discriminating
>     behavior
>
>
> Call for paper
>
> We encourage contributions of (ongoing) research from different 
> fields, including human-computer interaction, psychology, and 
> education, concerning studies on:
>
>
>  *
>
>     the stereotypes that virtual agents can convey through their
>     multimodal behavior  and the discriminating behaviors that may be
>     adopted by virtual agents;
>
>  *
>
>     the stereotypes that users attribute to IVAs depending on their
>     multimodal behavior;
>
>  *
>
>     the potential impacts of interactions with stereotyped or
>     discriminating virtual agents on the user’s behaviors outside the
>     virtual worlds;
>
>  *
>
>     the detection of biases and stereotypes in the models integrated
>     into virtual agents (e.g. LLM-based dialog model) ;
>
>  *
>
>     the discriminations of users against virtual agents;
>
>  *
>
>     the perspectives on the use of IVAs to prevent stereotypes and
>     discrimination (for instance with training systems) ;
>
>  *
>
>     The impact of socio-cultural characteristics (e.g. age, gender,
>     culture) on the perception of stereotypes and discriminations.
>
>
> Important dates
>
> Workshop paper submission deadline: June 29, 2024 July 20th
>
> Notifications: August 16, 2024
>
> Deadline for Camera ready version: September 02, 2024
>
> Workshop: September 19, 2024
>
>
> Submission format: max 6 pages (excluded references).
>
>
> The submitted contribution must be written in English and should be 
> anonymized. All submissions will be peer-reviewed by two anonymous, 
> independent reviewers.
>
>
> Please submit your contribution via e-mail to
>
> react at lis-lab.fr
>
> as a PDF, using the predefined using the predefined CEUR template 
> (https://ceur-ws.org/Vol-XXX/CEURART.zip) (an Overleaf page for LaTeX 
> users is also available: https://www.overleaf.com/read/gwhxnqcghhdt 
> <https://www.overleaf.com/read/gwhxnqcghhdt>). The accepted papers 
> will be published in the workshop’s proceedings on CEUR Workshop 
> Proceedings (http://ceur-ws.org/).
>
>
> Authors of accepted submissions will be invited to give an oral 
> presentation or to present a poster of their work.
>
>
> In submitting a manuscript to this workshop, the authors acknowledge 
> that no paper substantially similar in content has been submitted to 
> another conference or workshop.
>
>
> Organizers :
>
> Magalie Ochs - Aix Marseille Université (contact person)
>
> Chloé Clavel - INRIA Paris
>
> Catherine Pelachaud- CNRS - ISIR, Sorbonne Université
>
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