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Grant: Canada First Research Excellence Fund

Université de Montréal

$1,886,200.00

R3AI: Shifting Paradigms for a Robust, Reasoning, and Responsible Artificial Intelligence and its Adoption

FY 2022-23

Summary
In order to advance Canadian priorities, the R3AI program led by IVADO will develop and apply a much needed novel artificial intelligence (AI) that is Robust, Reasoning and Responsible.Why? AI is predicted to have major and increasing impacts on our social systems, environment, and economies. However, two major obstacles prevent Canada and other countries from maximizing its positive impacts, calling for a paradigm shift. The first hurdle is the insufficient robustness of current AI when deployed in uncertain "out-of-distribution" settings. The second issue is the misalignment between the deployment and adoption of AI and the ethical, organizational, social, cultural, and legal factors that frame the way it should be implemented.How? With the academic and institutional support of UdeM, HEC, Poly, ULaval, and McGill, R3AI will bring world-leading multidisciplinary researchers and implementation experts to tackle these challenges. The first will be addressed by fostering the collaboration of AI and cognitive neuroscience experts to better understand and narrow the gap between current AI and human intelligence. The second will be overcome by developing the science of AI adoption, with particular attention put towards ensuring that AI is deployed responsibly and that AI innovations are aligned with equity, diversity, and inclusion (EDI) objectives and are moreover co-built in real-life situations with end users, members of underrepresented groups, and Indigenous Peoples.What? To mobilize R3AI in sectors of strategic importance for Canada, IVADO will implement the new AI design and adoption strategies in three key priority sectors in which the 5 partners have major strengths: (1) Useful New Molecules - reduce the time and cost of discovering new drugs, e.g. those needed to fight future pandemics and antimicrobial resistance, as well as help to discover the materials required to achieve carbon neutrality; (2) Environmental Emergencies - decipher and predict biodiversity data to mitigate climate change and improve global health; and (3) Health Systems - develop predictive, explainable, and causal health models generalizable across communities and organizations that will have critical outcomes for patients and health systems. R3AI will provide solutions to logistics and supply chain challenges cross-cutting these 3 priority sectors.
Program
Canada First Research Excellence FundCanada First Research Excellence Fund (linked with high confidence)
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
CFREF-2022-00051
Name nom
Hébert, Marie-Josée
Department département
Medicine
Organization id
63
Institution établissement
Université de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
1886200
Program id
CFREF
Program name en
Canada First Research Excellence Fund
Program name fr
Fonds d’excellence en recherche Apogée Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9997
Committee name en
Canada First Excellence Research Fund Selection Committee
Committee name fr
Comité de sélection du Fonds d’excellence en recherche Apogée Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Installment
inst:1
Partie
1
Nb partie
1
Application title
R3AI: Shifting Paradigms for a Robust, Reasoning, and Responsible Artificial Intelligence and its Adoption
Application summary
In order to advance Canadian priorities, the R3AI program led by IVADO will develop and apply a much needed novel artificial intelligence (AI) that is Robust, Reasoning and Responsible.Why? AI is predicted to have major and increasing impacts on our social systems, environment, and economies. However, two major obstacles prevent Canada and other countries from maximizing its positive impacts, calling for a paradigm shift. The first hurdle is the insufficient robustness of current AI when deployed in uncertain "out-of-distribution" settings. The second issue is the misalignment between the deployment and adoption of AI and the ethical, organizational, social, cultural, and legal factors that frame the way it should be implemented.How? With the academic and institutional support of UdeM, HEC, Poly, ULaval, and McGill, R3AI will bring world-leading multidisciplinary researchers and implementation experts to tackle these challenges. The first will be addressed by fostering the collaboration of AI and cognitive neuroscience experts to better understand and narrow the gap between current AI and human intelligence. The second will be overcome by developing the science of AI adoption, with particular attention put towards ensuring that AI is deployed responsibly and that AI innovations are aligned with equity, diversity, and inclusion (EDI) objectives and are moreover co-built in real-life situations with end users, members of underrepresented groups, and Indigenous Peoples.What? To mobilize R3AI in sectors of strategic importance for Canada, IVADO will implement the new AI design and adoption strategies in three key priority sectors in which the 5 partners have major strengths: (1) Useful New Molecules - reduce the time and cost of discovering new drugs, e.g. those needed to fight future pandemics and antimicrobial resistance, as well as help to discover the materials required to achieve carbon neutrality; (2) Environmental Emergencies - decipher and predict biodiversity data to mitigate climate change and improve global health; and (3) Health Systems - develop predictive, explainable, and causal health models generalizable across communities and organizations that will have critical outcomes for patients and health systems. R3AI will provide solutions to logistics and supply chain challenges cross-cutting these 3 priority sectors.