Artificial intelligence is revolutionizing various industries, including cognitive testing. AI-powered facial analysis claims to assess intelligence by examining facial features, symmetry, and micro-expressions. But can this technology truly predict IQ with accuracy?
Researchers have developed machine learning models that analyze facial attributes and compare them with IQ test results. Some studies suggest that certain facial features correlate with cognitive ability. For instance, eye movement patterns and facial symmetry have been linked to problem-solving skills and mental processing speed.
Despite these findings, experts warn against over-reliance on AI for IQ measurement. Intelligence is shaped by numerous factors, including genetics, upbringing, and education, none of which can be fully captured through facial analysis alone. Moreover, AI models may inherit biases from the datasets used to train them, leading to inaccurate or misleading results.
While facial analysis technology continues to improve, its role in IQ assessment should be seen as complementary rather than definitive. Future advancements may refine its accuracy, but for now, traditional IQ tests remain the gold standard for cognitive evaluation.