With the rapid development of generative artificial intelligence technologies, distinguishing between real images and digitally generated images has become an increasing challenge. However, experts point out that there are subtle details that a casual observer can detect with the naked eye to detect counterfeiting.
Specialists focus on checking “detail errors” that artificial intelligence algorithms often make, such as:
– Limb deformities: Errors often appear in drawing the fingers or hands, as they may appear unnatural or with an incorrect number.
– Photo backgrounds: Elements in the background may appear distorted, illogically overlapping, or excessively blurry.
– Light reflections: inconsistent lighting and shadows, or mismatched reflections in the eyes or reflective surfaces.
– Symmetry of features: Focus on details such as the symmetry of the ears, or the shape of accessories (such as glasses or earrings) that may blend in with the skin in an unnatural way.
Experts confirm that these signs, despite the constantly improving technologies, remain key “gaps” that help users beware of misleading images, especially in light of their widespread spread on social media platforms.
