aceHuman detection of AI-generated faces and voices is not domain-general
Recent technological advances have resulted in synthetic faces and voices being perceptually indistinguishable from real faces and voices in typical populations. Faces and voices possess rich personal and social information, meaning synthetic faces and voices, commonly known as "deepfakes" can be used for identity theft, financial fraud, and misinformation campaigns. It is currently unknown whether detection of real versus synthetic content is modality-specific, or whether it generalizes across sensory domains.…
In a preregistered classification task, typical adults distinguished real from AI-generated faces and real from AI-generated voices at rates above chance.
Detection skill did not generalize across modalities, and confidence did not track voice accuracy, leaving people vulnerable to deepfake-enabled identity theft and financial fraud despite some detection ability.
It remains unclear whether the lack of cross-modal generalization reflects truly domain-specific detection abilities or limitations of the experimental design itself.
Evidence
- Peer-reviewedScientific Reports2026-06-22
How should this claim be treated?
Truvace Impact Record TRV-2026-0151, v1: “Human detection of AI-generated faces and voices is not domain-general.” Truvace, 2026-07-13. /record/TRV-2026-0151 (accessed at citation time). sha256 cf3580037a6cd85b…
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