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You are at:Home»Personal Development»AI could be better than humans at predicting correlations between answers to personality test questions
Personal Development

AI could be better than humans at predicting correlations between answers to personality test questions

March 6, 2025No Comments2 Mins Read
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AI could be better than humans at predicting correlations between answers to personality test questions
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Artificial intelligence (AI) has emerged as a powerful tool for making predictions based on data analysis. In a recent study published in Communications Psychology, researchers from the London School of Economics and Political Science, Spark Wave, New York University, and the University of Oxford investigated the effectiveness of AI models in predicting correlations between answers to personality test questions.

The researchers developed a specialized AI tool called PersonalityMap, which leverages artificial neural networks to predict correlations between personality scores, beliefs, and behaviors. This platform allows users to explore over 1 million human correlations, providing valuable insights into human psychology.

In their study, the researchers compared the predictions made by PersonalityMap to those made by general-purpose AI models, non-expert humans, and psychology experts. Surprisingly, the AI models outperformed both laypeople and experts in predicting correlations between personality test responses.

The neural network-based model developed by the researchers, Spencer Greenberg and Alexander Grishin, surpassed popular general-purpose language models like GPT-4o and Claude 3 Opus in accuracy. This highlights the potential of AI-based models, particularly those trained on past research data, in predicting human behavior and traits.

The implications of this study are significant, as it demonstrates the cost-effectiveness and efficiency of using AI models for predicting correlations in psychological research. Instead of relying on human expertise, researchers can now turn to AI tools like PersonalityMap for accurate predictions and hypothesis generation.

Moving forward, the researchers plan to expand PersonalityMap to include a wider range of human traits and variables, such as beliefs, behaviors, demographics, and health-related factors. This will further enhance the platform’s predictive capabilities and accelerate scientific research in the field of psychology.

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In conclusion, the study showcases the potential of AI in predicting correlations between personality traits and behaviors. By harnessing the power of artificial neural networks, researchers can gain valuable insights into human psychology and streamline the research process. The future of psychology research looks promising with the integration of AI technologies like PersonalityMap.

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