✍️ Column by Alexandrine Royer, our Educational Program Manager. Algorithms already heavily mediate several aspects of our daily lives, from where we decide to eat, how we get from point A to B, what news we see, … [Read more...] about The Artificiality of AI – Why are We Letting Machines Manage Employees?
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Examining the Black Box: Tools for Assessing Algorithmic Systems (Research Summary)
Summary contributed by Abhishek Gupta (@atg_abhishek), Founder and Principal Researcher of the Montreal AI Ethics Institute. His book Actionable AI Ethics will be published in 2021. This piece is part of a series of … [Read more...] about Examining the Black Box: Tools for Assessing Algorithmic Systems (Research Summary)
The Unnoticed Cognitive Bias Secretly Shaping the AI Agenda
Written by Camylle Lanteigne (@CamLante), who's currently pursuing a Master's in Public Policy at Concordia University and whose work on social robots and empathy has been featured on Vox. This explainer was … [Read more...] about The Unnoticed Cognitive Bias Secretly Shaping the AI Agenda
Research summary: Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction
Summary contributed by Ryan Khurana, a graduate of UofT's Rotman School of Management in the Master's of Management Analytics program. *Authors of original paper & link at the bottom Mini-summary: … [Read more...] about Research summary: Artificial Intelligence: The Ambiguous Labor Market Impact of Automating Prediction
Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment
Get the paper in PDF formDownload Authors: Abhishek Gupta, Erick Galinkin Abstract Security and ethics are both core to ensuring that a machine learning system can be trusted. In production machine learning, … [Read more...] about Green Lighting ML: Confidentiality, Integrity, and Availability of Machine Learning Systems in Deployment