在与AI系统的互动中，人类存在系统性的认知偏差。1评论作者指出，人类倾向于为AI对话赋予意图性，将其视为具有思想的对话者，但实际上AI只是数学运算和统计推断，不具有真正的意图或理解能力。1
这种偏差源于人类的认知本能。1我们对看似有意图的事物会自动赋予意图性——这一特性在理解他人时有用，但在面对AI时却导致了幻觉。1与此不同的是，文学中的虚构人物代表另一个心灵的表达，而聊天机器人则纯粹是数学运算的产物。1
AI生成的文本和图像是"挤压出来的"，而非"选择出来的"，不包含任何人的意图。1这导致其输出缺乏"质感"，显得过于平滑和陈腐，这是其与人类创作根本的区别。1值得注意的是，专家比非专家更容易看穿AI回答的肤浅性。1将个性赋予AI会使我们无法准确区分其有用之处与潜在危害。1
A commentary piece examines the cognitive biases humans develop when interacting with artificial intelligence.1 The author argues that people tend to attribute intentionality to AI conversations, treating them as exchanges with a thinking agent, when in reality AI operates through mathematical computations and statistical inference without genuine understanding or intent.1
The distinction hinges on how content is generated. AI-produced text and images are "squeezed out" rather than "chosen," containing no author's intention behind them.1 Humans possess an innate cognitive tendency to automatically ascribe intentionality to phenomena that appear purposeful—a mental habit that blurs the fundamental nature of algorithmic output.1 Unlike fictional characters in literature, which represent another person's creative expression, chatbots emerge purely as mathematical products.1
The author identifies a telltale quality gap: AI output often lacks texture, appearing excessively smooth and formulaic in ways that reveal its mechanical origins—a distinction that separates it fundamentally from human creation.1 Domain experts tend to perceive the superficiality of AI responses more readily than non-specialists.1 The broader concern is that attributing personality to AI systems obscures both their actual utility and potential harms, preventing clear-eyed assessment of when and how they should be deployed.1
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