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DTSTART:20260308T070000
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DTSTART;TZID=America/New_York:20260409T200000
DTEND;TZID=America/New_York:20260409T210000
DTSTAMP:20260413T140003
CREATED:20260328T205205Z
LAST-MODIFIED:20260402T183305Z
UID:1460-1775764800-1775768400@jposs.org
SUMMARY:Christina Davis (Harvard University)\, "Shaping Trade Stability: WTO Rulings on Export Restrictions and Business Confidence in Supply Chains"
DESCRIPTION:US ET: April 9 (Thursday)\, 8 – 9 PM \nJST: April 10 (Friday)\, 9 – 10 AM \nZoom Registration: Link \nPaper: Link \nAuthors: Christina Davis (Harvard University)\, Jialu Li (independent researcher)\, and Sayumi Miyano (Osaka University) \nPresenter: Christina Davis (Harvard University) \nAbstract:\nAn effective international legal system resolves disputes and deters violations. Once the strongest area of international law\, the WTO has been weakened by internal conflicts\, trade wars\, and supply chain disruptions. This paper examines whether WTO rulings still bolster confidence in the rules-based trade order\, focusing on business perceptions of supply chain stability. Using a 2022 survey experiment of Japanese firm managers\, we assess how WTO rulings shape expectations about trade reliability. Respondents were randomly assigned to receive varying information regarding a WTO ruling that found China’s export restrictions on raw materials violated WTO rules\, modeled on an actual case. We analyze how legal rulings and policy changes affect confidence in securing input supplies and compare perceptions of China’s supply chains versus other countries. Results show that learning about a WTO ruling against China lowers confidence in China’s supply chain reliability. However\, further learning about China’s compliance with the ruling significantly restores confidence—more than similar policy changes without multilateral enforcement. These findings suggest that while highlighting violations may weaken trust\, compliance strengthens confidence in global trade stability. \nDiscussants: Gregory Shaffer (Georgetown University Law Center)\, Iain Osgood (University of Michigan) \nChair: Saori Katada (University of Southern California)
URL:https://jposs.org/event/christina-davis-harvard-university-shaping-trade-stability-wto-rulings-on-export-restrictions-and-business-confidence-in-supply-chains/
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DTSTART;TZID=America/New_York:20260521T200000
DTEND;TZID=America/New_York:20260521T210000
DTSTAMP:20260413T140003
CREATED:20260410T144930Z
LAST-MODIFIED:20260410T144930Z
UID:1470-1779393600-1779397200@jposs.org
SUMMARY:Sho Miyazaki (Waseda University)\, "Why Do AI Models Tell Left-Wing Voters to Support the Communist Party? AI Voting Advice in Japan’s 2026 General Election"
DESCRIPTION:US ET: May 21 (Thursday)\, 8 – 9 PM \nJST: May 22 (Friday)\, 9 – 10 AM \nZoom Registration: Link \nPaper: to be posted. \nAuthors: Sho Miyazaki (Waseda University)\, Andrew B. Hall (Stanford University) \nPresenter: Sho Miyazaki (Waseda University) \nAbstract:\nAl chatbots with web search are increasingly used for voting guidance\, yet we know relatively little about their recommendation behavior outside the US. We query five models from three companies with 36\,300 synthetic voter profiles during Japan’s 2026 Lower House election\, plus a follow-up with today’s four frontier models. Policy stances dominate recommendations\, producing 50-98 percentage point swings compared to 0.5-7.0 pp for demographics. Strikingly\, left-leaning stances cause all five models to converge on Japan’s Communist Party\, despite other parties holding similar positions on the relevant issues. We trace this to the information environment: JCP operates a fully open website with a party newspaper that models freely access and frequently misclassify as independent journalism\, while major Japanese news outlets block Al crawlers. Without policy input\, models show no uniform left-wing bias. Incorporating X search shifts recommendations modestly leftward\, contradicting US-centric expectations. These findings suggest that Al models need better source discrimination in non-US contexts\, and that news organizations blocking Al access may inadvertently cede influence over Al-mediated voting advice to partisan sources that remain open. \nDiscussants: Kentaro Fukumoto (University of Tokyo)\, Kenneth McElwain (University of Tokyo) \nChair: Yusaku Horiuchi (Florida State University)
URL:https://jposs.org/event/sho-miyazaki-waseda-university-why-do-ai-models-tell-left-wing-voters-to-support-the-communist-party-ai-voting-advice-in-japans-2026-general-election/
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