Scientists Challenge AI-Human Intelligence Comparisons, Citing Social Learning and Cultural Context Gaps

Scientists declare AI-human intelligence comparisons fundamentally flawed, revealing that human intelligence operates collectively through social interaction and cultural transmission while AI systems merely process statistical patterns without true comprehension, embodied experience, or awareness of cultural context and values.

• Researchers argue that comparing AI to human intelligence is fundamentally flawed because human intelligence operates collectively through social interaction, cultural transmission, and cooperation across generations rather than individual cognitive performance
• AI systems lack embodied experience and social understanding that grounds human reasoning, as they process statistical patterns from text without true comprehension or awareness of cultural context and values
• Current AI models face significant limitations including training on biased data representing only a small fraction of world languages and knowledge, plus approaching the limits of available high-quality human-generated training data