What’s the ethical model for artificial intelligence?
While the technological, scientific and economic developments in artificial intelligence are happening at lightning speed, our governments, legislators, communities and businesses are being confronted daily with new questions. Many, like Elon Musk, Tesla’s founder, are warning about the implications related to the appropriation and application of these new technologies, and the ethical issues surrounding them since their integrations are being dealt with inconsistently across the populations.
Today, our city is quickly becoming an international epicenter for all matters relating to artificial intelligence. Newswires and economic forums are reverberating with the recent announcements of investments, and establishments of some of the major players in the industry. What do these new developments mean for the well-being of our society? What are the ethical issues for businesses and citizens surrounding these innovations?
Join us for this open discussion to better understand this new advanced technological world in which we live!
Jackie Chi Kit Cheung (Assistant Professor, McGill University)
Since 2015, Jackie Chi Kit Cheung has been an Assistant Professor in the Reasoning and Learning Lab at the School of Computer Science at McGill University. He holds a Masters and Ph.D in Computer Science from the University of Toronto.
His group conducts research in natural language processing (NLP), an area of artificial intelligence in which they build computational models of human languages such as English or French. The goal of their research is to develop computational methods for understanding text and speech, in order to generate language that is fluent and appropriate to the context. Several current projects include summarizing fiction, extracting events from text, and adapting language across genres.
Christian Desrosiers (Professor in the Department of Software Engineering and IT at ÉTS, ÉTS)Christian Desrosiers has been an Assistant Professor in the Department of Software Engineering and IT at ÉTS since 2009. Before joining the department, he was a Research Associate at the University of Minnesota, under the supervision of George Karypis. He earned a doctorate in Applied Mathematics from the École Polytechnique de Montréal in 2008. His main areas of research are data mining, machine learning, biomedical imaging, recommender systems and business intelligence.
Julien David-Pelletier (Advisor, access to justice, the Barreau du Québec)
Membre du Barreau depuis 2015, Me Julien Pelletier-David est Conseiller spécial du Bâtonnier du Québec en matière d’accès à la justice, où il est responsable du dossier Innovation, et il s’intéresse tout particulièrement aux enjeux relatifs à l’Intelligence artificielle.
Me Pelletier-David holds a Bachelor’s in Law from the Université du Québec à Montréal and has been a member of the Barreau du Québec since 2015.
He has become an expert on matters relating to access to justice, especially thanks to his involvement and his role at Juripop, where he was previously Executive Director, and has now held the position of Director General for two years.
Note: The talk will be given in French and English