LLMs can make dense policy documents accessible to readers

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The Marshall Project, a non-profit newsroom covering the U.S. justice system, has been investigating what books are banned in state prisons and why. It maintains a database of the actual books, but also got its hands on the official policies that guide book banning in 30 state prison systems.
These are often long and esoteric documents, and The Marshall Project wanted to make the policies more accessible to interested readers. Its journalists went through each document to identify the parts that actually mattered, and then Andrew Rodriguez Calderón, using OpenAI’s GPT-4, employed a series of very specific prompts to generate useful, readable summaries of the policies

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