What does it really mean to be intelligent, and can we say the same for AI? In this episode of The Human Intelligence Podcast, Dr. Russell T. Warne speaks with Dr. Gilles Gignac from the University of Western Australia about two of his influential papers on defining and measuring intelligence.

Together they explore why intelligence is about solving novel problems at our maximum capacity, how “achievement” differs from true intelligence, and whether artificial systems like large language models can ever be meaningfully compared to humans. They also discuss how psychometric methods can improve AI benchmarks and what both psychologists and computer scientists can learn from each other.

If you are curious about human intelligence, artificial intelligence, and the future of measuring both, this episode will give you a fresh perspective.

Referenced articles:

Defining Intelligence: Bridging the Gap Between Human and Artificial Perspectives → https://doi.org/10.1016/j.intell.2024.101832

Psychometrically Derived 60 Question Benchmarks, Substantial Efficiencies, and the Possibility of Human AI Comparisons → https://doi.org/10.1016/j.intell.2025.101922

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