Generative AI is powerful, but it’s not perfect. When generative AI summarises a research paper for example, it is reducing complex concepts, nuanced knowledge, critical evaluations and data to a few main points and ideas. As a result, it will omit details, background ideas and previous research which can lead it to simplify the complexity, which can in turn, lead it to misinterpret data, misrepresent background facts or even invent or generate facts. That’s because AI doesn’t “understand” research—it predicts what sounds right.
A small mistake in a summary could change the meaning of a study, leading to bad decisions or false conclusions. Imagine a medical paper where AI confuses correlation with causation—big problem, right?
That’s why you need to check AI-generated summaries. Read the original, verify key claims, and never assume AI got it right. AI can help speed up research, but human judgment is what keeps it reliable.
That’s why you need the Oxford Review – Powered by research, expertise and connection with other thinking humans.
Be impressively well informed
Get the very latest research intelligence briefings, video research briefings, infographics and more sent direct to you as they are published
Be the most impressively well-informed and up-to-date person around...