Is Meta developing an AI detection tool?

Yes, Meta is developing an internal AI detection tool for its Meta AI platform. This tool aims to allow users to analyze content and determine if it was generated by AI. The tool was discovered in the app's internal code on March 15, 2026.

Why is Meta building an AI detector?

Meta is building an AI detector to combat the proliferation of AI-generated content, sometimes referred to as "AI slop," on its platforms. This move aligns with Meta's broader efforts to enhance platform safety and combat digital scams. The company is facing pressure to provide tools that identify content produced by its own generative AI models.

What other digital safety measures has Meta implemented?

Meta has rolled out several new scam detection tools across Facebook, WhatsApp, and Messenger. These tools combat exploitation and fraud, such as Facebook issuing alerts for suspicious friend requests and WhatsApp introducing device linking warnings. Messenger is also expanding its AI-powered scam detection capabilities to more countries.

How does Meta's AI detection tool compare to Google's?

Google already offers a similar AI video detection tool within its Gemini platform, indicating a broader industry trend of companies developing both generative AI models and detection tools. It's unclear whether Meta’s detector will identify content from any AI model or exclusively target content generated by Meta's own AI, unlike Google's tool.

Meta's AI Detector: Fighting 'Slop' While Creating It?

Meta is developing an internal AI detection tool for Meta AI, a move that could allow users to analyze content for AI generation, even as the company's own generative AI tools contribute to a surge of synthetic media online. This paradoxical development, first uncovered by TestingCatalog on March 15, 2026, comes amidst Meta's broader efforts to combat digital scams and enhance platform safety, raising questions about how it balances innovation with content integrity.

Spotting the 'Slop': Meta's AI Detector Emerges

The new "AI Detector" menu option, found within the Meta AI interface, suggests Meta is moving towards giving users tools to verify content authenticity. While currently inactive and leading to a broken link when accessed, the feature's mere presence indicates a significant shift in Meta's strategy towards managing the proliferation of AI-generated content. Its full capabilities are yet to be determined, though early speculation points to an initial focus on identifying AI-generated text, with potential expansion to images, audio, and video.

This development highlights a growing tension within the AI landscape: companies developing generative AI models are increasingly facing pressure to also provide tools that identify the content these models produce. Google already offers a similar AI video detection tool within its Gemini platform, indicating a broader industry trend. The key question remains whether Meta’s detector will identify content from any AI model or exclusively target content generated by Meta's own AI.

A Broader Push for Digital Safety

Meta’s move to develop an AI detector should be viewed in the context of its wider push for digital safety and content moderation. The company has recently rolled out several new scam detection tools across three major platforms: Facebook, WhatsApp, and Messenger. These tools are designed to combat various forms of exploitation and fraud. For instance, Facebook now issues alerts for suspicious friend requests. WhatsApp has introduced device linking warnings to prevent users from being tricked into linking their accounts to scammers' devices.

Messenger, in particular, is expanding its advanced scam detection capabilities to more countries this month. This system uses AI to review chat patterns for common scam indicators, such as suspicious job offers, and prompts users to block or report problematic accounts. While these efforts focus on scams rather than general AI-generated "slop," they demonstrate Meta's increasing reliance on AI for content analysis and user protection. However, this commitment to safety faces scrutiny; Meta and Luxottica were recently hit with a proposed class action alleging that videos from AI-enabled smart glasses were shared with third-party contractors without user consent.