How to avoid Bias in AI Models

Presented by

Simon Dagenais, Umesh Hodeghatta and Umesha Nayak

About this talk

Where human beings are involved bias cannot be ruled out. This is true even in case of data visualization, data analysis, building and validating AI/ML models. Bias in these areas can have disastrous effects particularly when you apply the results to human beings or nature, etc. On February 4th , 1130AM EST, session, Simon Dagenais, lead data scientist at Snitch AI will be exploring various scenarios where bias is possible and how we can overcome the same to avoid adverse impacts of the results of AI/ML." Simon Dagenais, is the Lead Data Scientist at Snitch AI, a machine learning model and data validation tool. Coming from a data science consultant background, he now aspires at solving problems data scientists will encounter during the course of a machine learning project cycle. Simon obtained an M.Sc. in economics from HEC Montreal. He frequently speaks in conferences, panels and meetups.
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