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Using artificial intelligence to correctly classify workers in the growing gig economy

Blue J Legal


The modern workplace in North America is being shaped by the rising gig economy, where freelance workers are upending the traditional job market historically centred on full-time workers. This shift is crucial for employers, tax professionals, and legal counsel to recognize as a mainstay in how companies do business given the important, and potentially costly, tax ramifications that can arise by incorrectly classifying a worker.

Join us for an engaging conversation where we'll discuss how artificial intelligence-powered software is helping tax professionals, employment lawyers and HR professionals quickly and accurately determine if a worker is an employee or an independent contractor. 

Benjamin Alarie

Benjamin Alarie is CEO of Blue J Legal and the Osler Chair in Business Law at the Faculty of Law at the University of Toronto. Professor Alarie researches and teaches in taxation law and judicial decision making, and was awarded the Alan Mewett QC Prize for excellence in teaching by the law school’s graduating class of 2009. Before joining the law faculty as a full-time professor in 2004, Professor Alarie completed graduate work in law at the Yale Law School and was a law clerk for Madam Justice Louise Arbour at the Supreme Court of Canada. He has dozens of academic publications, and his research has been funded by the Social Sciences and Humanities Research Council, the Canadian Foundation for Innovation and the Ontario Ministry of Research and Innovation. He is a co-author of several editions of a leading legal text on tax law, Canadian Income Tax Law, including the most recent fifth edition (LexisNexis, 2015).



Benjamin Alarie


28 November 2018
15:00 - 15:55 UTC
55 min