NewsGuard helps developers of AI models avoid the spread of misinformation

News topics present a high-profile challenge to generative AI models that so far are spreading falsehoods at unprecedented scale. Companies offering generative AI products can license NewsGuard’s human-curated data to fine-tune their models and to create post-processing guardrails to recognize and debunk demonstrably false narratives, and treat content from trustworthy news sites differently than content from misinformation sites.

Responsible AI requires human judgment and accountability – which NewsGuard’s Reliability Ratings and Misinformation Fingerprints are uniquely equipped to provide.

The first generation of generative AI models lost public trust because they too often deliver responses on topics in the news that are well written, persuasive—and false. Responsible data can prevent AI models from spreading conspiracy theories and other falsehoods. NewsGuard’s data, powered entirely by our journalistically trained analysts, gives generative AI developers peace of mind for the first time with anti-misinformation tools.

NewsGuard provides source credibility inputs for fine-tuning generative AI models to deliver responses from trustworthy sources and post-processing guardrails to prevent models from spreading false narratives in the news.

• NewsGuard Reliability Ratings: Access NewsGuard’s trust ratings of all the top online sources of news and information to fine-tune AI models to cite trustworthy news sources, treat untrustworthy sources differently and display trust scores next to citations for news and information sources.
• NewsGuard Misinformation Fingerprints™: Access NewsGuard’s constantly updated catalog of all the top examples of false narratives spreading online, available in human- and machine-readable formats, to supply AI models with post-processing guardrails enabling the AI to recognize and mitigate—not create and spread—false narratives.