プロフィール

61cc2943

SNS

Charles Ovink

United Nations Regional Centre for Peace and Disarmament in Asia and the Pacific Associate Political Affairs Officer

略歴

Now an Associate Political Affairs Officer with the United Nations Office for Disarmament Affairs and its Regional Centre for Peace and Disarmament in Asia and the Pacific, Charles Ovink specializes in disarmament and nonproliferation issues in the region, with a particular interest in emerging concerns, including Lethal Autonomous Weapons Systems and AI. Prior to his current post, he has been a Programme Manager for the United Nations World Institute for Development Economics Research, and a consultant for the United Nations University and Creative Environmental Networks. He received his Master’s Degree from Waseda University, focusing on political security and power transition.

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