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      • Forthcoming
      • Article

      Public Perception and Autonomous Vehicle Liability

      By: Julian De Freitas, Xilin Zhou, Margherita Atzei, Shoshana Boardman and Luigi Di Lillo
      The deployment of autonomous vehicles (AVs) and the accompanying societal and economic benefits will greatly depend on how much liability AV firms will have to carry for accidents involving these vehicles, which in turn impacts their insurability and associated... View Details
      Keywords: Moral Sensibility; Judgments; Legal Liability; Insurance; Perception
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      De Freitas, Julian, Xilin Zhou, Margherita Atzei, Shoshana Boardman, and Luigi Di Lillo. "Public Perception and Autonomous Vehicle Liability." Journal of Consumer Psychology (forthcoming). (Pre-published online January 12, 2025.)
      • Research Summary

      Research Thrust

      By: Rakesh Khurana
      I am trained in organizational sociology and my main areas of interest lie in macro-organizational theory and the dynamics of executive labor markets. To date, my research has focused on two themes. The first revolves around understanding the forces that govern the... View Details
      • Research Summary

      The Location Component of Pricing Strategies

      By: David E. Bell
      David E. Bell is examining retail pricing strategies in the context of location. He finds that customers' willingness to visit a particular store depends on their price expectations, the likelihood that a suitable item will be in stock, and the store's proximity to... View Details
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      The Real Exchange Rate, Innovation and Productivity

      By: Laura Alfaro
      We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'... View Details
      • Article

      Unregulated Emotional Risks of AI Wellness Apps

      By: Julian De Freitas and Glenn Cohen
      We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and... View Details
      Keywords: AI and Machine Learning; Well-being; Emotions; Governing Rules, Regulations, and Reforms
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      De Freitas, Julian, and Glenn Cohen. "Unregulated Emotional Risks of AI Wellness Apps." Nature Machine Intelligence (in press).
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