Skip to Main Content
HBS Home
  • About
  • Academic Programs
  • Alumni
  • Faculty & Research
  • Baker Library
  • Giving
  • Harvard Business Review
  • Initiatives
  • News
  • Recruit
  • Map / Directions
Faculty & Research
  • Faculty
  • Research
  • Featured Topics
  • Academic Units
  • …→
  • Harvard Business School→
  • Faculty & Research→
  • Research
    • Research
    • Publications
    • Global Research Centers
    • Case Development
    • Initiatives & Projects
    • Research Services
    • Seminars & Conferences
    →
  • Publications→

Publications

Publications

Filter Results: (3) Arrow Down
Filter Results: (3) Arrow Down Arrow Up

Show Results For

  • All HBS Web  (47)
    • Faculty Publications  (3)

    Show Results For

    • All HBS Web  (47)
      • Faculty Publications  (3)

      Model PersuasionRemove Model Persuasion →

      Page 1 of 3 Results

      Are you looking for?

      →Search All HBS Web
      • 2025
      • Working Paper

      Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations

      By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang
      Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without... View Details
      Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making
      Citation
      SSRN
      Read Now
      Related
      Lane, Jacqueline N., Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, and Pei-Hsin Wang. "Narrative AI and the Human-AI Oversight Paradox in Evaluating Early-Stage Innovations." Harvard Business School Working Paper, No. 25-001, August 2024. (Revised May 2025.)
      • January 2021
      • Article

      Using Models to Persuade

      By: Joshua Schwartzstein and Adi Sunderam
      We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
      Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
      Citation
      Find at Harvard
      Read Now
      Related
      Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
      • Article

      Coarse Thinking and Persuasion

      By: Sendhil Mullainathan, Joshua Schwartzstein and Andrei Shleifer
      We present a model of uninformative persuasion in which individuals "think coarsely": they group situations into categories and apply the same model of inference to all situations within a category. Coarse thinking exhibits two features that persuaders take advantage... View Details
      Keywords: Cognition and Thinking; Brands and Branding
      Citation
      Find at Harvard
      Read Now
      Purchase
      Related
      Mullainathan, Sendhil, Joshua Schwartzstein, and Andrei Shleifer. "Coarse Thinking and Persuasion." Quarterly Journal of Economics 123, no. 2 (May 2008): 577–619.
      • 1

      Are you looking for?

      →Search All HBS Web
      ǁ
      Campus Map
      Harvard Business School
      Soldiers Field
      Boston, MA 02163
      →Map & Directions
      →More Contact Information
      • Make a Gift
      • Site Map
      • Jobs
      • Harvard University
      • Trademarks
      • Policies
      • Accessibility
      • Digital Accessibility
      Copyright © President & Fellows of Harvard College.