AIにおけるバイアスの回避:倫理と多様性を超えて

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