# Online child safety

Published articles for Online child safety.

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## New method aims to keep kids safe from illegal AI-generated content

DevFeed: [New method aims to keep kids safe from illegal AI-generated content](<https://devfeed.tech/articles/new-method-aims-to-keep-kids-safe-from-illegal-ai-generated-content-37976.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/new-method-keeps-kids-safe-from-illegal-ai-generated-content-0713>)

Author: Adam Zewe | MIT News

Published: 2026-07-13T04:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [ai safety](<https://devfeed.tech/topics/ai-safety.md>), [AI Research](<https://devfeed.tech/topics/ai-research.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-deepfakes](<https://devfeed.tech/tags/ai-deepfakes.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [ashia-wilson](<https://devfeed.tech/tags/ashia-wilson.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [csam](<https://devfeed.tech/tags/csam.md>), [ethics](<https://devfeed.tech/tags/ethics.md>), [generative](<https://devfeed.tech/tags/generative.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [institute-for-medical-engineering-and-science-imes](<https://devfeed.tech/tags/institute-for-medical-engineering-and-science-imes.md>), [laboratory-for-information-and-decision-systems-lids](<https://devfeed.tech/tags/laboratory-for-information-and-decision-systems-lids.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [marzyeh-ghassemi](<https://devfeed.tech/tags/marzyeh-ghassemi.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [models](<https://devfeed.tech/tags/models.md>), [online-child-safety](<https://devfeed.tech/tags/online-child-safety.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [privacy](<https://devfeed.tech/tags/privacy.md>), [public-health](<https://devfeed.tech/tags/public-health.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [vinith-suriyakumar](<https://devfeed.tech/tags/vinith-suriyakumar.md>)

### AI overview

MIT researchers and Thorn developed an auditing technique that assesses whether a generative AI model has been specialized to produce child sexual abuse material without generating illegal outputs. In testing, the procedure identified specialized model variants with 100 percent accuracy.

### Source excerpt

Researchers developed an auditing technique to test generative AI models for malicious capabilities, without prompting them for illegal outputs.