Bias In, Bias Out: Building Better Artificial Intelligence

10:30 - 11:50
Room 212, Shaw Centre

Harmful automated decisions are often due to problematic data used to train the algorithms. Come hear a panel of experts discuss current initiatives that address dataset health across sectors and use cases. The organizers of this session encourage attendees to come with questions and challenges to pose to the panelists during the open Q&A portion of the session.

Theme: Open track

Livestream: No

Open to media: Yes

Organizers: The Data Nutrition Project

Languages available: English, French

Event type: Panel


Kasia Chmielinski, Project Lead, Data Nutrition Project, USA, Ashley Casovan, Director of Data Architecture and Innovation, Treasury Board Secretariat, Canada, Alex Miller, President, Environmental Systems Research Institute, Canada, Moira Patterson, Global Affairs Program Director, IEEE Standards Association, USA

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