Suzanne Scott

The University of Texas at Austin

Papers

1

Total Citations

111

H-Index

1

About

Suzanne Scott is a leading scholar at the intersection of media studies, artificial intelligence, and public engagement. Her research investigates how entertainment media—from film and television to video games—shapes societal understanding of emerging technologies, particularly AI. In her most-cited work, “Public understanding of artificial intelligence through entertainment media” (2022), with 111 citations, Scott demonstrates how fictional portrayals of AI influence public perceptions, trust, and policy expectations, bridging critical gaps between technical development and cultural reception. Her contributions extend to analyzing the ethical implications of algorithmic storytelling and the role of narrative in democratizing AI literacy. Scott’s work has been instrumental in framing AI not merely as a technical artifact but as a culturally embedded phenomenon, earning her recognition as a key voice in science communication. She has been invited to speak at international conferences on technology and society, and her research informs both media producers and policymakers. For students and researchers, Scott’s scholarship offers a vital lens for understanding how the stories we tell about technology shape the futures we build.

Research Focus

Key Achievements

1
H-Index
1
Papers
111
Total Citations
111
Avg Citations/Paper
🏆 Most Cited Paper
Public understanding of artificial intelligence through entertainment media
111 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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