Anthropomorphizing AI: Dire consequences of mistaking human-like for human have already emerged
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In our rush to understand and relate to AI, we have fallen into a seductive trap: Attributing human characteristics to these robust but fundamentally non-human systems. This anthropomorphizing of AI is not just a harmless quirk of human nature — it is becoming an increasingly dangerous tendency that might cloud our judgment in critical ways. Business leaders are comparing AI learning to human education to justify training practices to lawmakers crafting policies based on flawed human-AI analogies. This tendency to humanize AI might inappropriately shape crucial decisions across industries and regulatory frameworks. Viewing AI through a human lens in business has led companies to overestimate AI capabilities or underestimate the need for human oversight, sometimes with costly consequences. The stakes are particularly high in copyright law, where anthropomorphic thinking has led to problematic comparisons between human learning and AI training. The language trap Listen to how we talk about AI: We say it “learns,” “thinks,” “understands” and even “creates.” These human terms feel natural, but they are misleading. When we say an AI model “learns,” it is not gaining understanding like a human student. Instead, it performs complex statistical analyses on vast amounts of data, adjusting weights and parameters in its neural networks based on mathematical principles. There is no comprehension, eureka moment, spark of creativity or actual understanding — just increasingly sophisticated pattern matching. This linguistic sleight of hand is more than merely semantic. As noted in the paper, Generative AI’s Illusory Case for Fair Use: “The use of anthropomorphic language to describe the development and functioning of AI models is distorting because it suggests that once trained, the model operates independently of the content of the works on which