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AI-induced Hyper-learning in Humans

Overview
Publisher Elsevier
Specialty Psychology
Date 2024 Sep 30
PMID 39348730
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Abstract

Humans evolved to learn from one another. Today, however, learning opportunities often emerge from interactions with AI systems. Here, we argue that learning from AI systems resembles learning from other humans, but may be faster and more efficient. Such 'hyper learning' can occur because AI: (i) provides a high signal-to-noise ratio that facilitates learning, (ii) has greater data processing ability, enabling it to generate persuasive arguments, and (iii) is perceived (in some domains) to have superior knowledge compared to humans. As a result, humans more quickly adopt biases from AI, are often more easily persuaded by AI, and exhibit novel problem-solving strategies after interacting with AI. Greater awareness of AI's influences is needed to mitigate the potential negative outcomes of human-AI interactions.

Citing Articles

How human-AI feedback loops alter human perceptual, emotional and social judgements.

Glickman M, Sharot T Nat Hum Behav. 2024; 9(2):345-359.

PMID: 39695250 PMC: 11860214. DOI: 10.1038/s41562-024-02077-2.