Ashley Casovan

Director, Digital and Data, Government of Canada


Ashley is an engaged and innovative public servant. Throughout her career she has been curious about the intersection of new technologies and data, and its impact on service delivery. As Director of Data and Digital for the Government of Canada, she leads research and policy development related to data, open source, and artificial intelligence. Before joining the Government of Canada, Ashley was the open government lead for the City of Edmonton, where she designed the city’s open government strategy and the Citizen Dashboard. Ashley is a graduate of the University of Alberta, followed by enterprise architecture at the University of Toronto.


Avoiding Bias in AI: Across Ethics and Diversity


The applications of AI across industries and public sector are mostly based on the category of algorithms known as deep learning, and how deep-learning algorithms find patterns in data. The simple narrative is the data we feed it is biased and subsequently we have to be careful in applying AI to real life scenarios. The way we frame problems and manage the data becomes crucial and if we add adaptability, localization and social context things become even harder. This expert panel composed of national and international public sector officials, academia and industry researchers will discuss what is the best way, if any, to address this problem and how to move in the right direction.




1-5-1 Marunouchi, Chiyoda-ku, Tokyo
Shin-Marunouchi Building, Room 902


April 24, 2019 at 11:00AM - 11:50AM