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Elicit - IT History Database Entry

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This IT History database entry provides basic company/tool registry information about Elicit; for substantive information about Elicit's role in AI safety research, primary sources from Ought or Elicit's own documentation would be more useful.

Metadata

Importance: 15/100wiki pagereference

Summary

This is an IT History database entry for Elicit, an AI-powered research assistant tool developed by Ought. Elicit uses language models to help researchers find, summarize, and analyze academic literature. It is particularly relevant to AI safety research workflows as a tool for literature review and evidence synthesis.

Key Points

  • Elicit is an AI research assistant that automates literature review tasks using large language models
  • Developed by Ought, an AI safety-focused organization working on scalable oversight
  • Helps researchers find relevant papers, extract key findings, and synthesize evidence
  • Represents a practical application of AI capabilities in scientific and safety research contexts
  • Listed in the IT History database as a notable technology company/tool

Cited by 1 page

PageTypeQuality
Elicit (AI Research Tool)Organization63.0

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## 404

We're sorry, but the page you were looking for doesn't exist.

#### Here are some useful links

- [Home](https://www.ithistory.org/db/companies/elicit#)
- [About Us](https://www.ithistory.org/db/companies/elicit#)
- [FAQ's](https://www.ithistory.org/db/companies/elicit#)
- [Sitemap](https://www.ithistory.org/db/companies/elicit#)
- [Contact Us](https://www.ithistory.org/db/companies/elicit#)
Resource ID: c2afc815e1063e08 | Stable ID: MmIxNjM5ZW