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Evidence record 9781 · automatically gathered

Generalization bias in large language model summarization of scientific research

Artificial intelligence chatbots driven by large language models (LLMs) have the potential to increase public science literacy and support scientific research, as they can quickly summarize complex scientific information in accessible terms. However, when summarizing scientific texts, LLMs may omit details that limit the scope of research conclusions, leading to generalizations of results broader than warranted by the original study. We tested 10 prominent LLMs, including ChatGPT-4o, ChatGPT-4.5

Record details

Published: 1 April 2025
Source: OpenAlex
Category: Research
Topics: Bias & fairness
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (1 April 2025), “Generalization bias in large language model summarization of scientific research,” evidence record 9781, https://ethics.ai/record/9781 (originally published by OpenAlex).

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