AI-Generated Images: What Humans and Machines See When They Look at the Same Image
The misuse of generative AI in online disinformation campaigns highlights the urgent need for transparent and explainable detection systems. In this work, we investigate how detectors for AI-generated images can be more effective in providing human-understandable explanations for their predictions. To this end, we develop a suite of detectors with various architectures and fine-tuning strategies, trained on our large-scale photorealistic fake image dataset, AIText2Image, and assess their perform
Record details
Published: 7 May 2026
Source: arXiv
Category: Research
Topics: Misinformation · Transparency · Finance, VC & PE
Retrieved: 14 July 2026
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ethics.ai (7 May 2026), “AI-Generated Images: What Humans and Machines See When They Look at the Same Image,” evidence record 4835, https://ethics.ai/record/4835 (originally published by arXiv).
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