B’AIグローバル・フォーラムでは、英オックスフォード大学のLulu Shi氏お招きし、家事労働のような無報酬労働が自動化されることについてAI専門家たちはどのように考え、その未来をいかに予測しているのか、さらに、そうした予測が専門家のバックグラウンドや社会的要因に左右されうるのかなど、「無報酬労働の未来」についてご講演いただきます。ご関心のある方はぜひご参加ください。

The B’AI Global Forum will hold a talk by Dr. Lulu Shi entitled “The Future(s) of Unpaid Work: How Susceptible Do Experts from Different Backgrounds Think the Domestic Sphere Is to Automation?” on October 17, 2022. The details are as follows:

開催情報/Event Details

日時：2022年10月17日（月）17：00～18：30（日本時間）
Date: October 17, 2022 (Mon), 17:00 ~ 18:30 (JST)

形式：ハイブリッド
Venue: On-site & Online Hybrid

①対面/On-site
東京大学Beyond AI研究推進機構 本郷拠点（本郷キャンパス附属病院内）
Institute for AI and Beyond (The University of Tokyo, Hongo Campus)

10月11日（火）までに、下記URLよりお申し込みください。
Please register for on-site session from the URL below by Tuesday, October 11, 2022.

https://forms.gle/9k3EWccqEg7aJDqf6

※会場については、申し込み終了後に詳細をご案内します。
We will email you directions to the venue after the registration is closed.

※人数制限をさせていただく場合がございます。その際は先着順とさせていただきます。
Please note that we may limit the number of on-site participants on a first-come-first-served basis.

②オンライン/Online
Zoomミーティング（事前申し込み不要）
Zoom Meeting (No registration required)

https://u-tokyo-ac-jp.zoom.us/j/85012401826?pwd=U1hsT2VSN3R5Umg1dWNpNG1uYzFJUT09
ID: 850 1240 1826 / PW: 940843

使用言語：英語（通訳なし）
Language: English

講演者/Speaker

 
Lulu Shi（オックスフォード大学 社会学科 ポストドクトラルリサーチャー, Postdoctoral Researcher, Department of Sociology, University of Oxford ）

Dr. Lulu Shi is a sociologist and her research spans technology, education, work and employment and organisations. She works on the project DomesticAI as a postdoctoral research fellow. In this project she focuses on the transformation of paid and unpaid work in the age of AI and robotics. With her team she designs a cross-national harmonised factorial survey experiment.
She also leads a project funded by the British Academy, which investigates how educational technology (EdTech) transforms education. Specifically, the project studies the role of EdTech firms—who can be seen as the architects behind the technology—in shaping education by considering the socio-political contexts they are embedded in.

講演要旨/Description

The Future(s) of Unpaid Work: How Susceptible Do Experts from Different Backgrounds Think the Domestic Sphere Is to Automation?

The future of work has emerged as a prominent topic for research and policy debate. However, the debate has focused entirely on paid work, even though people in industrialized countries on average spend comparable amounts of time on unpaid work. The objectives of this study are therefore (1) to expand the future of work debate to unpaid domestic work and (2) to critique the main methodology used in previous studies. To these ends, we conducted a forecasting exercise in which 65 AI experts from the UK and Japan estimated how automatable are 17 housework and care work tasks. Unlike previous studies, we paid attention to how experts’ diverse backgrounds may shape their estimates. On average our experts predicted that 39 percent of the time spent on a domestic task will be automatable within ten years. Japanese male experts were notably pessimistic about the potentials of domestic automation, a result we interpret through gender disparities in the Japanese household. Our contributions are to provide the first quantitative estimates concerning the future of unpaid work and to demonstrate how such predictions are socially contingent, with implications to forecasting methodology.

モデレーター/Moderator

久野愛（東京大学大学院情報学環・学際情報学府 准教授）
Ai Hisano (Associate Professor, Interfaculty Initiative in Information Studies/Graduate School of Interdisciplinary Information Studies, The University of Tokyo)

主催/Organizer

東京大学Beyond AI研究推進機構B’AIグローバル・フォーラム
B’AI Global Forum, Institute for AI and Beyond, The University of Tokyo

後援/Supported by

東京大学Beyond AI研究推進機構
The Institute for AI and Beyond, The University of Tokyo

お問い合わせ/Inquiry

東京大学B’AIグローバル・フォーラム事務局
B’AI Global Forum Office
bai.global.forum[at]gmail.com（[at]を＠に変えてください/Please change [at] to @）