Using LLMs to update human rights datasets
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New artificial intelligence tools are being released at a staggering pace, making traditional ways of data collection look outdated and potentially obsolete. However, the real benefits and limitations of large language models in the context of human rights data collection are not yet very well understood. With this project, I am testing the use of LLMs for the extraction of incident data on human rights violations from UN reports, exploring opportunities and trade-offs of expanding datasets that were previously human-coded.