INDRA: A New AI Tool for Exploring Tobacco, Fossil Fuel, and Chemical Industry Archives
Five decades of litigation have disgorged hundreds of millions of pages of formerly secret business records from the tobacco industry, along with documents from the makers of drugs, chemicals, food, firearms, and fossil fuels. Yet these archives have been effectively inaccessible to general-purpose large language models (LLMs) because they have never been compiled into an LLM-readable corpus. Chatbots may be familiar with some of the materials contained in such archives but, with no direct access to the documents, they are vulnerable to hallucination and other defects. Here we introduce INDRA, a research platform designed to remedy such failures by embedding the conventions of archival hi...
| Authors | Daniel Akselrad, Robert N. Proctor |
|---|---|
| Primary category | cs.DL |
| Published | 10 September 2026 |
| Last updated at source | 10 September 2026 |
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