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CSPS Digital Academy Events/Tackling Data Bias in Artificial Intelligence - Speaker Biographies (view source)
Revision as of 10:30, 18 October 2021
, 10:30, 18 October 2021no edit summary
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In early 2018 Sevgui has spearheaded the creation of a machine learning (ML)/AI solutions Hub within Statistics Canada, i.e. the Data Science Accelerator (DSA). Its purpose: to build data science capacity within the organization by solving concrete problems & delivering practical results that enable clients to move forward confidently with big & unstructured data. The DSA operated as a start-up, entirely business needs driven, on a cost-recovery basis, taking advantage of entrepreneurship best practices, catalyzing culture change through delivery of small wins, building confidence and trust in the new methods. In Sep 2019, Sevgui was appointed as the Senior Director of the new Data Science Division, created to provide an R&D nucleus for the exploration and the application of data science within the Agency. The division deploys specialized multidisciplinary expertise in the latest open source, hardware and Cloud service techniques to tackle projects employing deep learning, Natural Language processing, image processing, privacy preserving technics and information retrieval methods.
In early 2018 Sevgui has spearheaded the creation of a machine learning (ML)/AI solutions Hub within Statistics Canada, i.e. the Data Science Accelerator (DSA). Its purpose: to build data science capacity within the organization by solving concrete problems & delivering practical results that enable clients to move forward confidently with big & unstructured data. The DSA operated as a start-up, entirely business needs driven, on a cost-recovery basis, taking advantage of entrepreneurship best practices, catalyzing culture change through delivery of small wins, building confidence and trust in the new methods. In Sep 2019, Sevgui was appointed as the Senior Director of the new Data Science Division, created to provide an R&D nucleus for the exploration and the application of data science within the Agency. The division deploys specialized multidisciplinary expertise in the latest open source, hardware and Cloud service techniques to tackle projects employing deep learning, Natural Language processing, image processing, privacy preserving technics and information retrieval methods.
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[[File:Karen Eltis.jpg|frameless|center]]
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=== Karen Eltis ===
'''Law Professor, University of Ottawa Centre for Law, Technology and Society'''<br>
Karen Eltis is a Faculty member at the University of Ottawa Centre for Law, Technology and Society and a Full Professor of Law within the Faculty of Law, Civil Law Section. She is a past Affiliate with Princeton’s CITP (Center for Information Technology Policy) 2016-2018. A past director of the uOttawa Human Rights Centre, Karen Eltis specializes in artificial intelligence/ innovation law and policy and cybersecurity from a comparative perspective. She served as Senior Advisor to the National Judicial Institute and has taught at Columbia Law School. Fluent in French, English, Hebrew, Spanish and Romanian and proficient in German and Italian, Karen Eltis holds law degrees from McGill University, the Hebrew University of Jerusalem and Columbia Law School (Harlan Fiske Stone Scholar). Prior to joining the faculty at the University of Ottawa, Karen was a litigation associate in New York City. Her research was twice cited by the Supreme Court of Canada (in the landmark case A.B. v. Bragg, 2012 and in '''Quebec (Attorney General) v. 9147-0732 Québec''' inc. 2020 SCC 32) and other Canadian and foreign courts. Karen’s latest book is titled “Courts, Litigants and the Digital Age: Second Edition” (Irwin Law, 2016) supported by the CIRA grant. Her research on Artificial Intelligence and Expression is supported by the Foundation for Legal Research.
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