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Publications

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  • All HBS Web  (120,061)
    • Faculty Publications  (3)

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    • All HBS Web  (120,061)
      • Faculty Publications  (3)

      Riley, James W.Remove Riley, James W. →

      Page 1 of 3 Results
      • 2024
      • Working Paper

      “If You’re Not There… You’re Not There”: How Art Market Platforms Induce Status Anxiety to Coerce Participation

      By: James Riley and Ezra Zuckerman Sivan
      This paper, an 18-month ethnographic investigation of international art fairs (IAFs), shows how market platforms can have a coercive effect, inducing sellers (i.e., art galleries) to participate despite ambivalence over their value and anxiety over the process by which... View Details
      Keywords: Market Participation; Status and Position; Competition; Demand and Consumers; Fine Arts Industry
      Citation
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      Riley, James, and Ezra Zuckerman Sivan. "“If You’re Not There… You’re Not There”: How Art Market Platforms Induce Status Anxiety to Coerce Participation." Working Paper, August 2024.
      • 2024
      • Working Paper

      Pitch Perfect: Investing in Transportable Presentation Skills to Support Poly-vocal Personae

      By: James Riley and Susan S. Silbey
      For organizations requiring independent and creative thinking skills for complex problem-solving, especially within a multi-disciplinary pool of collaborators, conventional socialization practices flattening individuality for the sake of uniformity is not necessarily... View Details
      Keywords: Creativity; Identity; Competency and Skills; Groups and Teams
      Citation
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      Riley, James, and Susan S. Silbey. "Pitch Perfect: Investing in Transportable Presentation Skills to Support Poly-vocal Personae." Working Paper, August 2024.
      • September 29, 2023
      • Article

      Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

      By: Simon Friis and James Riley
      When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
      Keywords: AI and Machine Learning; Prejudice and Bias; Equality and Inequality
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      Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
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