One Possible Psychological Explanation for Why AI Developers, Researchers, and Engineers Haven’t Yet Created an AI IQ Benchmark

Understanding the Absence of an AI IQ Benchmark: A Psychological Perspective

The concept of measuring artificial intelligence’s (AI) intelligence through a standardized IQ test might seem straightforward, yet it remains unrealized even three years into the current AI revolution. Given that the fundamental goal of AI development is to create sophisticated, intelligent systems, the lack of an established benchmark to assess AI IQ raises intriguing questions. Why have researchers and engineers not yet developed an official AI IQ measurement?

At first glance, this omission appears puzzling. After all, IQ tests have long served as the gold standard for evaluating human intelligence. If advancing and understanding AI effectively hinges on quantifying their cognitive abilities, then one might expect the scientific community to prioritize creating such an assessment. However, the persistent absence suggests underlying psychological and social factors at play—factors that extend beyond pure scientific logic.

Considering the human element, AI researchers and developers increasingly occupy roles akin to modern-day high priests of technological progress. Their work is positioned as the pinnacle of scientific importance, elevating their status within the broader scientific community. This elevated status can give rise to ego-driven motivations that influence their decisions—particularly regarding self-assessment and the perception of their intellectual capabilities.

One plausible psychological explanation is rooted in the personal insecurities and social dynamics among these scientists. Many of the leading figures in AI research are likely to have IQ scores well above the average—some estimated between 130 and 150—but not all may be comfortable openly acknowledging or discussing their personal intelligence levels. The development of an AI IQ benchmark could inadvertently prompt comparisons, raising uncomfortable questions about how their AI creations measure up to human intelligence, or even leading to uncomfortable reflections about their own cognitive abilities.

This emotional response—fear of exposure, threat to status, or vulnerability—may act as a barrier preventing the creation of such benchmarks. Without a standardized measure, researchers avoid potential scrutiny of their own intellects and the perceived superiority of their AI systems. Such emotions are deeply human; they are not rooted in scientific rigor but in the complex web of ego, reputation, and social dynamics.

From a scientific perspective, undervaluing the importance of measuring AI intelligence seems counterintuitive. AI development is fundamentally about creating machines capable of reasoning, learning, and problem-solving—traits best evaluated through standardized assessments. Neglecting to develop an AI IQ test leaves a gap in understanding the true capabilities of these systems.

This analysis highlights how human psychology—specifically, emotional and ego-driven motives—can influence scientific progress. The high regard for AI researchers’ roles may inadvertently hinder the development of objective measures like AI IQ benchmarks. As the field advances, it is hoped that these emotional barriers will diminish, enabling the scientific community to adopt standardized metrics for AI intelligence. Such progress would allow us to accurately compare AI systems to human intelligence and better understand the remarkable capabilities—or limitations—of our artificial creations.

In conclusion, while the absence of an AI IQ benchmark may seem perplexing from a purely scientific standpoint, it becomes more understandable when viewed through a psychological lens. Recognizing the emotional and social factors at play can help pave the way for more transparent and objective assessments of artificial intelligence in the future.