October 17, 2022
Lulu Shi氏講演会 The Future(s) of Unpaid Work: How Susceptible Do Experts from Different Backgrounds Think the Domestic Sphere Is to Automation? Lecture by Dr. Lulu Shi The Future(s) of Unpaid Work: How Susceptible Do Experts from Different Backgrounds Think the Domestic Sphere Is to Automation?
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:
Date: October 17, 2022 (Mon), 17:00 ~ 18:30 (JST)
Venue: On-site & Online Hybrid
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)
Please register for on-site session from the URL below by Tuesday, October 11, 2022.
We will email you directions to the venue after the registration is closed.
Please note that we may limit the number of on-site participants on a first-come-first-served basis.
Zoom Meeting (No registration required)
ID: 850 1240 1826 / PW: 940843
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.
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.
Ai Hisano (Associate Professor, Interfaculty Initiative in Information Studies/Graduate School of Interdisciplinary Information Studies, The University of Tokyo)
B’AI Global Forum, Institute for AI and Beyond, The University of Tokyo
The Institute for AI and Beyond, The University of Tokyo
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 @）