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Generative Artificial Intelligence With Youth Codesign to Create Vaping Awareness Advertisements.

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Generative artificial intelligence (AI) created youth vaping awareness ads were as effective as existing ones. AI offers a promising tool for public health campaigns, but requires governance.

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Area of Science:

  • Public Health
  • Health Communication
  • Artificial Intelligence

Background:

  • Traditional youth vaping awareness campaigns are slow and delay public health responses.
  • Generative artificial intelligence (AI) shows potential for health communication, but research is limited to text-only messages.

Purpose of the Study:

  • To compare the perceived message effectiveness (PME) of AI-generated, youth-codesigned vaping awareness social media ads against existing ads.
  • To examine the association between source labeling and PME.

Main Methods:

  • A randomized clinical trial with a 2x4 factorial design was conducted online.
  • Participants aged 16-25 years evaluated 25 AI-generated and 25 existing ads.
  • Perceived message effectiveness was measured using the validated PME Scale for Youth.

Main Results:

  • AI-generated ads demonstrated noninferiority to existing ads across all measures.
  • AI-generated ads received better ratings for discouraging vaping, attention-grabbing qualities, and convincingness.
  • Source labeling did not significantly affect PME scores.

Conclusions:

  • AI-generated, youth-codesigned vaping awareness ads were more effective than existing ads.
  • Generative AI holds potential for public health campaigns, necessitating appropriate governance frameworks.