The University Of Chicago Papers

Browse 1 peer-reviewed paper from The University Of Chicago spanning Human-Computer Interaction, Generative AI (2024). Research powered by Prolific's high-quality participant data.

This page lists 1 peer-reviewed paper from researchers at The University Of Chicago in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Organic or diffused: Can we distinguish human art from ai-generated images?

Authors: AYJ Ha, J Passananti, R Bhaskar, S Shan

Year: 2024

Published in: Proceedings of the ..., 2024 - dl.acm.org

Institution: University of California Santa Barbara, The University of Chicago, Institute of Education, University College London

Research Area: Human-Computer Interaction, Generative AI, Digital Forensics

Discipline: Human-Computer Interaction, Generative AI, Digital Forensics

The paper investigates the effectiveness of different approaches, including both human and automated detectors, in distinguishing human art from AI-generated images, finding that a combination of methods offers the best performance despite persistent weaknesses.

Methods: Comparison of human art across 7 styles with AI-generated images from 5 generative models, assessed using 5 automated detectors and 3 human groups (crowdworkers, professional artists, expert artists).

Key Findings: Detection accuracy and robustness of human and automated methods in identifying AI-generated images under benign and adversarial conditions.

DOI: 10.1145/3658644.3670306

Citations: 52

Sample Size: 3993