Difference between revisions of "CSPS Digital Academy Events/Tackling Data Bias in Artificial Intelligence - Speaker Biographies"
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[[File:Ima Okonny Photo - CDO.jpg|frameless|center]] | [[File:Ima Okonny Photo - CDO.jpg|frameless|center]] | ||
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=== Ima Okonny === | === Ima Okonny === | ||
'''Chief Data Officer, Employment and Social Development Canada''' <br> | '''Chief Data Officer, Employment and Social Development Canada''' <br> | ||
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=== Shingai Manjengwa === | === Shingai Manjengwa === | ||
− | ''' | + | '''Chief Executive Officer and Founder, Fireside Analytics, and Director, Technical Education, Vector Institute for Artificial Intelligence''' <br> |
Shingai Manjengwa is the founder and Chief Executive Officer of Fireside Analytics Inc., a data science education solutions company that develops customized programs that teach digital and AI literacy, data science, data privacy, and computer programming to a variety of audiences, including policy makers, practitioners, high school learners and working professionals. Courses by Fireside Analytics have over 500,000 registered learners on platforms like IBM’s CognitiveClass.ai and Coursera. | Shingai Manjengwa is the founder and Chief Executive Officer of Fireside Analytics Inc., a data science education solutions company that develops customized programs that teach digital and AI literacy, data science, data privacy, and computer programming to a variety of audiences, including policy makers, practitioners, high school learners and working professionals. Courses by Fireside Analytics have over 500,000 registered learners on platforms like IBM’s CognitiveClass.ai and Coursera. | ||
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=== Brent Barron === | === Brent Barron === | ||
− | '''Director, CIFAR''' <br> | + | '''Director, Strategic Projects, Knowledge Mobilization, CIFAR''' <br> |
Brent Barron is Director, Strategic Projects, Knowledge Mobilization at CIFAR where he is responsible for engaging the policy community around cutting-edge science. He played an important role in the development of the Pan-Canadian Artificial Intelligence Strategy, and oversaw its AI & Society program, examining the social, ethical, legal, and economic effects of AI. In addition, he was seconded to the University of Toronto’s Schwartz Reisman Institute for Technology and Society to support the Institute’s launch. Previously, Brent held a variety of positions in the Ontario Public Service, including in the Ministry of Research, Innovation and Science. | Brent Barron is Director, Strategic Projects, Knowledge Mobilization at CIFAR where he is responsible for engaging the policy community around cutting-edge science. He played an important role in the development of the Pan-Canadian Artificial Intelligence Strategy, and oversaw its AI & Society program, examining the social, ethical, legal, and economic effects of AI. In addition, he was seconded to the University of Toronto’s Schwartz Reisman Institute for Technology and Society to support the Institute’s launch. Previously, Brent held a variety of positions in the Ontario Public Service, including in the Ministry of Research, Innovation and Science. | ||
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Revision as of 16:53, 18 August 2021
Date and time: September 1, 2021 | 1:30 pm to 3:00 pm (ET)
Register for event here
Join us on GCCollab for updates and discussion
Speaker Biographies
Nick ScottDirector, Experiential Learning and Innovation Services, Digital Academy, Canada School of Public Service | |
Christopher AllisonChief Data Officer, Public Health Agency of Canada | |
Ima OkonnyChief Data Officer, Employment and Social Development Canada | |
Shingai ManjengwaChief Executive Officer and Founder, Fireside Analytics, and Director, Technical Education, Vector Institute for Artificial Intelligence | |
Brent BarronDirector, Strategic Projects, Knowledge Mobilization, CIFAR | |
Sevgui ErmanDirector, Chief Data Scientist, Statistics Canada
Sevgui Erman is Chief Data Scientist and Senior Director of Data Science at Statistics Canada. She is passionate about technology, big data, artificial intelligence (AI), and its use for public good. She has experience in developing algorithms and systems in the private, public and academic sectors. Prior to joining Statistics Canada, Sevgui worked as technical project manager within Ericsson 4G Wireless LTE as well as Nortel Networks Optical R&D. She has experience in bringing academic research into practical applications. Sevgui holds a PhD from the University of Paris-Sud in Signal processing & System control, two areas that have strong links to AI.
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