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AI-generated visuals of car-free US cities help improve support for sustainable policies

Author

Listed:
  • Rachit Dubey

    (MIT)

  • Mathew D. Hardy

    (Princeton University)

  • Thomas L. Griffiths

    (Princeton University
    Princeton University)

  • Rahul Bhui

    (MIT
    MIT)

Abstract

Americans are often reluctant to support policies that aim to meaningfully change transportation. Here we show how new techniques from artificial intelligence can be harnessed to increase public support for green policies. We use text-to-image generative AI models to create re-imagined, car-free versions of various streets in America and find that across two large-scale survey studies (N = 3,129), viewing these re-imaginations significantly increases support for a hypothetical sustainable transport bill.

Suggested Citation

  • Rachit Dubey & Mathew D. Hardy & Thomas L. Griffiths & Rahul Bhui, 2024. "AI-generated visuals of car-free US cities help improve support for sustainable policies," Nature Sustainability, Nature, vol. 7(4), pages 399-403, April.
    • Handle: RePEc:nat:natsus:v:7:y:2024:i:4:d:10.1038_s41893-024-01299-6
    DOI: 10.1038/s41893-024-01299-6
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    Cited by:

    1. Ning Li & Huaikang Zhou & Kris Mikel-Hong, 2024. "Generative AI Enhances Team Performance and Reduces Need for Traditional Teams," Papers 2405.17924, arXiv.org.

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