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Friction between machines and humans has existed since the beginning of the automated industry and machine-assisted work. It’s a trend that fuels the imaginations of pop culture and political debates alike as people voice worries about the roles increasingly sophisticated robots and technology are taking in society and workplaces.

But is this concern warranted? According to APARC’s Yong Suk Lee, the deputy director of the Korea Program and the SK Center Fellow at FSI, and Karen Eggleston, the deputy director of APARC and the director of the Asia Health Policy Program, perhaps not. A recent article published by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) highlights Lee and Eggleston’s ongoing research into innovative uses of technology across industries, particularly in healthcare. Their findings indicate that the adoption of robotics ultimately does more to augment and adjust, rather than outrightly replace, the role of human labor in the workplace.

What will ultimately matter is whether there will be entirely new occupations, what economists call the ‘reinstatement effect.’ Simply saying that robots lead to permanent job reductions isn’t the end of the story.
Yong Suk Lee
Deputy Director of the Korea Program

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Lee studies the impacts of AI and robotics across multiple industries, including manufacturing, retail banking, and nursing homes. A trend he sees across most sectors following the adoption of robotics or AI is a positive increase in productivity. This has impacts for both the short-term and long-term relationships between humans and their robot coworkers, or “co-bots.” While it is true that the introduction of automation and robots initially replaces a significant number of workers in sectors such as manufacturing, over time, that impact reverses and there are job gains in many cases.

“The impact of robots often evolves over time from replacing human workers to augmenting them,” Lee explains, “and productivity gains [can] create opportunities for existing and new occupations.” This happens in a variety of ways. In some cases, the use of robotics and automation in one area frees up time, labor, and resources to employ more people in other, higher-skilled areas. In another situation, increases in productivity brought on by automation allow for greater company growth than would not have been possible otherwise. This, in turn, spurs the need to expand the workforce.

Alternatively, supplementing the labor of a small workforce with robotics and AI can also spread limited resources much farther. Lee and Eggleston’s studies of the impacts of robots on nursing home care in Japan repeatedly show that the use of robots positively increases the quality of service that oftentimes-understaffed care facilities can provide to the elderly and infirm. This can range from monitoring the physical condition of patients and reliably delivering medications to providing mental and emotional support to elderly residents through the use of robotic humanoid companions. Such innovative use of tech fills critical gaps that a human-only workforce would struggle to meet in a staffing shortage like Japan faces.

Looking to the future, Lee shares this perspective: “When the automobile was invented, we suddenly had a new demand for drivers. Now we’ll have to see if [automation] creates demand for other new occupations.” It’s an area of innovation and research he, Dr. Eggleston, and other Stanford researchers will be closely watching with their human eyes in the years to come.

Read the original article by Stanford HAI here >>

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Yong Suk Lee and Karen Eggleston’s ongoing research into the impact of robotics and AI in different industries indicates that integrating tech into labor markets adjusts, but doesn’t replace, the long-term roles of humans and robots.

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One of the most puzzling findings in asset pricing is that expected returns dominate variation in the dividend-to-price ratio, leaving little room for dividend growth rates. Even more puzzling is that this dominance only emerged after 1945. We develop a present value model to argue that a general increase in equity duration can explain these findings. As cash flows to investors accrue further into the future, shocks to highly persistent expected returns become relatively more important than shocks to growth rates. We provide supportive empirical evidence from dividend strips, the time-series, and the cross-section of stocks.

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We develop a model of financial crises with both a financial amplification mechanism, via frictional intermediation, and a role for sentiment, via time-varying beliefs about an illiquidity state. We confront the model with data on credit spreads, equity prices, credit, and output across the financial crisis cycle. In particular, we ask the model to match data on the frothy pre-crisis behavior of asset markets and credit, the sharp transition to a crisis where asset values fall, disintermediation occurs and output falls, and the post-crisis period characterized by a slow recovery in output. We find that a pure amplification mechanism quantitatively matches the crisis and aftermath period but fails to match the pre-crisis evidence. Mixing sentiment and amplification allows the model to additionally match the pre-crisis evidence. We consider two versions of sentiment, a Bayesian belief updating process and one that overweighs recent observations. We find that both models match the crisis patterns qualitatively, generating froth pre-crisis, non-linear behavior in the crisis, and slow recovery. The non-Bayesian model improves quantitatively on the Bayesian model in matching the extent of the pre-crisis froth.

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Arvind Krishnamurthy
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Conjoint experiments enjoy increasing popularity in political and social science, but there is a paucity of research on respondents' underlying decision-making processes. We leverage eye-tracking methodology and a conjoint experiment, administered to a subject pool consisting of university students and local community members, to examine how respondents process information when completing conjoint surveys. Our study has two main findings. First, we find a positive correlation between attribute importance measures inferred from the stated choice data and attribute importance measures based on eye movement. This validation test supports the interpretation of common conjoint metrics, such as Average Marginal Component Effects and marginal R^2 values, as valid measures of attribute importance. Second, when we experimentally increase the number of attributes and profiles in the conjoint table, respondents on average view a larger absolute number of cells but a smaller fraction of the total cells displayed, and the patterns in which they search between cells change conditionally. At the same time, however, their stated choices remain remarkably stable. This overall pattern speaks to the robustness of conjoint experiments and is consistent with a bounded rationality mechanism. Respondents can adapt to complexity by selectively incorporating relevant new information to focus on the important attributes, while ignoring less relevant information to reduce the cognitive processing costs. Together, our results have implications for both the design and interpretation of conjoint experiments.

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**Please note all CDDRL events are scheduled using the Pacific Time Zone

About this Event:  This book offers a novel theory of the nuances in relationships between business and political elites in three authoritarian regimes in developing Asia: Indonesia under Suharto’s New Order, Malaysia under the Barisan Nasional (BN), and China under the Chinese Communist Party (CCP). How did business-state relations in all three regimes come to be seen as “crony,” and why do some crony arrangements generate growth and political stability and others stagnation or crisis? The book develops conceptual models of state-business relations (mutual alignment and mutual endangerment) and explains their genesis. I argue that the main factors explaining why one pattern dominates over the other are the political status of capitalists, determined during regime formation, and the political management of the financial system. The research draws on extensive archival and interview sources as well as novel datasets on corporate filings in each country.

 

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Meg Rithmere
About the Speaker:  Meg Rithmire is F. Warren MacFarlan associate professor in the Business, Government, and International Economy Unit. Professor Rithmire holds a PhD in Government from Harvard University, and her primary expertise is in the comparative political economy of development with a focus on China and Asia. Her first book, Land Bargains and Chinese Capitalism (Cambridge University Press, 2015), examines the role of land politics, urban governments, and local property rights regimes in the Chinese economic reforms. A new project, for which Meg conducted fieldwork in Asia 2016-2017, investigates the relationship between capital and the state and globalization in Asia. The project focuses on a comparison of China, Malaysia, and Indonesia from the early 1980s to the present. The research has two components; first, examining how governments attempt to discipline business and when those efforts succeed and, second, how business adapts to different methods of state control. 

 

 

 

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Meg Rithmire F. Warren MacFarlan associate professor in the Business, Government, and International Economy Unit
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Webinar recording: https://youtu.be/ou4OpF-8j-g

 

Connie will speak about how the Chinese detention barracks on Angel Island were saved from demolition in the 1970s, opening the door to the hidden history of the immigration station. She will recount the experience of her grandmother, Mrs. Lee Yoke Suey, who was detained in the barracks for 15 and a half months starting in 1924 and how the United States Court of Appeals for the Ninth Circuit ruled on her grandmother’s case.  

The Stanford Program on International and Cross-Cultural Education (SPICE), which is a program of the Freeman Spogli Institute for International Studies, worked with graphic artist Rich Lee to publish Angel Island: The Chinese-American Experience. Its author, Jonas Edman, will share activities and materials from this graphic novel that tells the story of Chinese immigrants who were detained at Angel Island Immigration Station in San Francisco Bay between 1910 and 1940.

This webinar is a joint collaboration between the Center for East Asian Studies and SPICE at Stanford University.

 

Featured Speakers:

Connie Young Yu

Connie Young Yu

Connie Young Yu is a writer, activist and historian. She is the author of Chinatown, San Jose, USA, co-editor of Voices from the Railroad: Stories by Descendants of Chinese Railroad Workers, and has written for many exhibits and documentaries on Asian Americans. She was on the citizens committee (AIISHAC) that saved the Angel Island immigration barracks for historical preservation and was a founding member of Asian Americans for Community Involvement (AACI). Connie is board member emeritus of the Chinese Historical Society of America and historical advisor for the Chinese Historical and Cultural Project (CHCP).

 

Jonas Edman

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Jonas Edman

Jonas Edman is an Instructional Designer for the Stanford Program on International and Cross-Cultural Education (SPICE). In addition to writing curricula, Jonas coordinates SPICE’s National Consortium for Teaching About Asia (NCTA) professional development seminars on East Asia for middle school teachers, and teaches online courses for high school students. He also collaborates with Stanford Global Studies on the Education Partnership for Internationalizing Curriculum (EPIC) Fellowship Program. Prior to joining SPICE in 2010, Jonas taught history and geography in Elk Grove, California, and taught “Theory of Knowledge” at Stockholm International School in Stockholm, Sweden.

 

Via Zoom Webinar. Registration Link: https://bit.ly/3g9qnPc.

Connie Young Yu, independent historian and author
Jonas Edman Stanford University
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We provide an equilibrium analysis of the efficiency properties of simultaneous bilateral tariff negotiations in a three-country model of international trade. We consider the setting in which discriminatory tariffs are allowed, and we utilize the “Nash-in-Nash” solution concept of Horn and Wolinsky (1988). We allow for a general family of political-economic country welfare functions and assess efficiency relative to these welfare functions. We establish a sense in which the resulting tariffs are inefficient and too low, so that excessive liberalization occurs from the perspective of the three countries.

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Judy Goldstein
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Time is the backdrop of historical inquiry, yet it is much more than a featureless setting for events. Different temporalities interact dynamically; sometimes they coexist tensely, sometimes they clash violently. In this innovative volume, editors Dan Edelstein, Stefanos Geroulanos, and Natasha Wheatley challenge how we interpret history by focusing on the nexus of two concepts—“power” and “time”—as they manifest in a wide variety of case studies. Analyzing history, culture, politics, technology, law, art, and science, this engaging book shows how power is constituted through the shaping of temporal regimes in historically specific ways. Power and Time includes seventeen essays on human rights; sovereignty; Islamic, European, Chinese, and Indian history; slavery; capitalism; revolution; the Supreme Court; the Anthropocene; and even the Manson Family. Power and Time will be an agenda-setting volume, highlighting the work of some of the world’s most respected and original contemporary historians and posing fundamental questions for the craft of history.

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Daphne Keller
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Daphne Keller leads the newly launched Program on Platform Regulation a program designed to offer lawmakers, academics, and civil society groups ground-breaking analysis and research to support wise governance of Internet platforms.

Q: Facebook, YouTube and Twitter rely on algorithms and artificial intelligence to provide services for their users. Could AI also help in protecting free speech and policing hate speech and disinformation?   

DK: Platforms increasingly rely on artificial intelligence and other algorithmic means to automate the process of assessing – and sometimes deleting – online speech. But tools like AI can’t really “understand” what we are saying, and automated tools for content moderation make mistakes all the time. We should worry about platforms’ reliance on automation, and worry even more about legal proposals that would make such automated filters mandatory. Constitutional and human rights law give us a legal framework to push back on such proposals, and to craft smarter rules about the use of AI. I wrote about these issues in this New York Times op ed and in some very wonky academic analysis in the Journal of European and International IP Law.

Q: Can you explain the potential impacts on citizens’ rights when the platforms have global reach but governments do not?

DK: On one hand, people worry about platforms displacing the legitimate power of democratic governments. On the other hand, platforms can actually expand state power in troubling ways. One way they do that is by enforcing a particular country’s speech rules everywhere else in the world. Historically that meant a net export of U.S. speech law and values, as American companies applied those rules to their global platforms. More recently, we’ve seen that trend reversed, with things like European and Indian courts requiring Facebook to take user posts down globally – even if the users’ speech would be legally protected in other countries. Governments can also use soft power, or economic leverage based on their control of access to lucrative markets, to convince platforms to “voluntarily” globally enforce that country’s preferred speech rules. That’s particularly troubling, since the state influence may be invisible to any given users whose rights are affected.   

There is such a pressing need for thoughtful work on the laws that govern Internet platforms right now, and this is the place to do it... We have access to the people who are making these decisions and who have the greatest expertise in the operational realities of the tech platforms.
Daphne Keller
Director of Program on Platform Regulation, Cyber Policy Center Lecturer, Stanford Law School

Q: Are there other ways that platforms can expand state power? 

DK: Yes, platforms can let states bypass democratic accountability and constitutional limits by using private platforms as proxies for their own agenda. States that want to engage in surveillance or censorship are constrained by the U.S. Constitution, and by human rights laws around the world. But platforms aren’t. If you’re a state and you want to do something that would violate the law if you did it yourself, it’s awfully tempting to coerce or persuade a platform to do it for you. This issue of platforms being proxies for other actors isn’t limited to governments – anyone with leverage over a platform, including business partners, can potentially play a hidden role like this.

I wrote about this complicated nexus of state and private power in Who Do You Sue? for the Hoover Institution.    

Q: What inspired you to create the Program on Platform Regulation at the Cyber Policy Center right now?

DK: There is such a pressing need for thoughtful work on the laws that govern Internet platforms right now, and this is the place to do it. At the Cyber Policy Center, there’s an amazing group of experts, like Marietje Schaake, Eileen Donahoe, Alex Stamos and Nate Persily, who are working on overlapping issues. We can address different aspects of the same issues and build on each other’s work to do much more together than we could individually.

The program really benefits from being at Stanford and in Silicon Valley because we have access to the people who are making these decisions and who have the greatest expertise in the operational realities of the tech platforms. 

The Cyber Policy Center is part of the Freeman Spogli Institute for International Studies at Stanford University.

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Q&A with Daphne Keller
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Keller explains some of the issues currently surrounding platform regulation

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