プロフィール

Ashley Casovan

Government of Canada Director, Digital and Data

略歴

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.

セッション

AIにおけるバイアスの回避:倫理と多様性を超えて

概要

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.

登壇者

モデレーター

会場

東京都千代田区丸の内1丁目5-1
新丸ビル, Room 902

開催日時

2019年04月24日 午前11:00 - 午前11:50