UQAM

LEVERAGING HUMAN INTELLIGENCE WITHIN AI

INNOVATIONS

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Université du Québec à Montréal (UQAM), known for its creativity, openness and dynamism, is establishing a distinctive perspective through its innovative research programs centered on contemporary social issues. This avant-garde approach is the fundamental driving force behind the broad range of AI expertise currently being developed at UQAM.

Ygal Bendavid Directeur du Laboratoire de l’Internet des Objets (IdO/IoT) (Internet of Things Laboratory (IoT)), Professeur au département de management et technologie

Abdoulaye Baniré Diallo Laboratoire de Bioinformatique, Professeur au département d’informatique

Determined to prioritize the common good in AI research, UQAM’s own HumanIA research group is taking a unique humanistic approach to further their work on AI, contributing to the international influence of UQAM. HumanIA is currently collaborating in the LegalIA project to help further the ethical and responsible development of AI in the legal space.

Several AI training programs are offered at UQAM in order to increase accessibility to the innovative approaches developed within its laboratories. In the fall of 2020, the first edition of the Summer School on Artificial Intelligence and Cognitive Sciences was organized by UQAM in partnership with the Institut des sciences cognitives.

Furthermore, AI supporting technologies developed at UQAM are inherently community-oriented. For example, the team of Ygal Bendavid from the Internet of Things (IoT) Laboratory is working on assessing the impact of the use of a smart cabinet system on the performance of gown/scrubs management in a hospital setting. In the context of a pandemic, this project is particularly important in order to limit cross-contamination. In addition, Abdoulaye Baniré Diallo’s team from the Laboratoire de bioinformatique is using AI to find genomic solutions to medical and agricultural challenges.

Finally, due to the complex and multifactorial nature of AI research, UQAM advocates and adopts an intersectoral approach. The enhancement of interfaculty, inter-university and industrial collaborations accomplished by the Research Center in Artificial Intelligence (CRIA) is promoting the development of knowledge in this field. The same is true for the international collaborations endorsed by the Research Laboratory on Emerging Internet Technologies (LATECE), which specializes in the application of AI in software engineering.

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