When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection

Recent generative models have largely closed the gap on low-level artifacts - pixel fingerprints, frequency anomalies, upsampling traces - particularly in person-centric and partial-edit settings where the manipulated region is small and surrounded by photometrically authentic content. We introduce Social Gaze Consistency, a high-level semantic cue defined as the mutual coherence of gaze direction, head-eye alignment, and pupil placement between interacting individuals, and show that it constitu

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ethics.ai (26 May 2026), “When Eyes Betray AI: Social Gaze Consistency as a Semantic Cue for AI-Generated Image Detection,” evidence record 3655, https://ethics.ai/record/3655 (originally published by arXiv).

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