TARGETED ProjeCt 3

MATCHING: COLLABORATION WITH INTELLIGENT SYSTEMS

Intelligent systems (or agents) are becoming an integral part of nearly all areas of our daily lives and shape them. Despite efforts in HCI (Human Computer Interaction) and HSS (Human and Social Sciences) to address these questions, how to design, model and evaluate effective and beneficial collaboration between human and intelligent systems is still understudied. This requires renewed theoretical and empirical models of interactions and questioning around the associated ethical issues.

The project MATCHING aims at creating new forms of interactions between human users and intelligent systems that take advantage of differences in human’s and system’s skills, while reducing reliance on their respective weaknesses, to create an overall partnership where the combination of the human and the system is better than either one alone. The project will address different configurations while putting the emphasis on groups (multiple humans, multiple agents) but will also go through the question of augmenting one user with proper interaction with AI-based tools such as recommenders, decision aids or dedicated artificial companions. Explainability, privacy, and fairness of this type of hybrid interaction will be taken into consideration as well as the users’ diversity and abilities, affective and/or cognitive states and willingness to exert their agency and authority with regards to ethical issues and user’s well-being. The MATCHING project also addresses the evolution of skills in private and professional spheres, meaning of work and activity, management of responsibility, ethics and authority in the future organizations embedding intelligent agents.

PROJECT DESCRIPTION

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LIST OF THESES IN PROGRESS

LIST OF POSTDOCS IN PROGRESS AND COMPLETED

Project partners

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logo Sorbonne Université
logo Université Claude Bernard Lyon 1
Logo Université Gustave Eiffel
logo Université de Lille
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Logo Université de technologie de Troyes
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