New method aims to keep kids safe from illegal AI-generated content
Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs. This could enable auditors to identify open-source models that have been adapted to produce illegal content. Credits: Credit: Christine Daniloff, MIT; iStock *Terms of Use: Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license.
- ▪Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.
- ▪This could enable auditors to identify open-source models that have been adapted to produce illegal content.
- ▪Credits: Credit: Christine Daniloff, MIT; iStock *Terms of Use: Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commerci
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Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs. Adam Zewe | MIT News Publication Date: July 13, 2026 Press Inquiries Press Contact: Abby Abazorius Email: [email protected] Phone: 617-253-2709 MIT News Office Media Download ↓ Download Image Caption: Researchers developed an evaluation procedure that tests generative AI models for harmful capabilities without generating outputs. This could enable auditors to identify open-source models that have been adapted to produce illegal content.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at MIT News.