AISENSE

Understanding Human Reasoning & Sensegiving About AI-Generated Images & Video

How humans decide what’s real in a world of AI-generated images and video

Workshop Website: Understanding Human Reasoning & Sensegiving About AI-Generated Images & Video

AI-generated media, such as synthetic video and deepfakes, are advancing rapidly. As the line between reality and fabrication blurs, we face critical questions about digital literacy, trust, and the cognitive processes that shape our shared culture. While technical detection models continue to evolve, human detection remains unreliable, and the social effects of these technologies are largely unknown. This ambiguity fuels misunderstandings, misinformation, disinformation, and political polarization. This workshop moves beyond the technical challenge of detection to explore the human side of synthetic media. We invite researchers, designers, educators, psychologists, cognitive scientists, and media practitioners to investigate how social interaction and collective sensemaking shape our evaluation of AI-generated (or suspected AI-generated) media.

Topics of interest

Topics of interest include (but are not limited to):

  • AI and perception
  • AI literacy
  • AI and reasoning
  • AI and social impact
  • AI detection

Workshop Format

The workshop will be an on-site event, co-located with ACM IMX 2026. 

Type of submissions/contributions that will be solicited:

  • Papers in the ACM single-page template (4-8 pages , excluding references)

Organizers

  • Joshua A. Fisher (Ball State University, US)
  • Rahmin Bender-Salzar (University of Galway, Ireland)
  • Breanne Pitt (Trinity College Dublin, Ireland)
  • Christian Roth (HKU University of Arts Utrecht, Netherlands)