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.

中文翻译：

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人工智能引发的人类超级学习


人类进化是为了互相学习。然而如今，学习机会往往来自与人工智能系统的交互。在这里，我们认为向人工智能系统学习类似于向其他人类学习，但可能更快、更高效。这种“超级学习”之所以能够发生，是因为人工智能：（i）提供了促进学习的高信噪比，（ii）具有更强的数据处理能力，使其能够生成有说服力的论据，以及（iii）被感知（在某些领域）拥有比人类更优秀的知识。因此，人类更快地接受人工智能的偏见，通常更容易被人工智能说服，并在与人工智能互动后表现出新颖的解决问题的策略。需要更多地认识人工智能的影响，以减轻人类与人工智能交互的潜在负面结果。