MIT's Shayne Longpre launches FLARE-AI, an open-source platform to standardize AI safety and security incident reporting

Original post

Thanks to our collaborators: Carson Ezell, @seanmcgregor, @kevin_klyman, @sayashk, @RishiBommasani, Ruth Appel, @PeterSlattery1, @random_walker, @percyliang, Sandy Pentland & many more.

Catch our poster at #ICML.

https://www.ai-reports.org/

Shayne Longpre@ShayneRedford

How it works: FLARE-AI turns a flaw into a single structured report you can download or route to the right stakeholders in one click, so issues get triaged, not lost.

Built at MIT with @AvijitGhosh, Elaine Zhu, and a great team across AI + cyber safety/security.

@WIRED, by @willknight: https://www.wired.com/story/flare-website-ai-flaw-reporting-safety/

12:54 PM · Jul 1, 2026 · 166 Views

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Shayne Longpre@ShayneRedford

How it works: FLARE-AI turns a flaw into a single structured report you can download or route to the right stakeholders in one click, so issues get triaged, not lost.

Built at MIT with @AvijitGhosh, Elaine Zhu, and a great team across AI + cyber safety/security.

@WIRED, by @willknight: https://www.wired.com/story/flare-website-ai-flaw-reporting-safety/

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Avijit Ghosh@evijit

Thanks a million to @willknight for the @WIRED coverage! More details in our announcement blog post:

https://huggingface.co/spaces/flare-ai/introducing-flare-ai

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Shayne Longpre@ShayneRedford

Launch FLARE-AI 🎆: Flaw & Incident Reporting for AI.

Reporting AI flaws is broken: forms are scattered, non-standardized, and reports get siloed instead of reaching everyone who needs them (think universal jailbreaks).

We built one open-source place to fix that: create your report + route.

Open source + free.

🧵/

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Avijit Ghosh@evijit

Very proud to launch FLARE-AI today, after extensive coordination between cybersecurity and safety orgs. This is just a starting point, and we are working with more orgs and legislative efforts to cement coordinated flaw disclosure practices in AI.

Find us at ICML next week!

clem 🤗@ClementDelangue

AI systems that are accessible or even better open-source are safer for a simple reason: more people can inspect them, test them, stress them, and report what breaks or harms to keep the builders accountable. "Sunlight is the best disinfectant"!

That’s why we’re proud to help lead FLARE with a coalition of safety and cyber-security researchers from MIT, Stanford, Princeton, Harvard, Northeastern, Carnegie Mellon and more.

The first release is a standardized way to report AI flaws across the ecosystem. One report can reach the right developers, safety organizations, and registries, so a flaw found once can be fixed everywhere faster with the right accountability: https://www.wired.com/story/flare-website-ai-flaw-reporting-safety/

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Mimee // co-located w/ icml 2026@MimeeXu

@ShayneRedford @seanmcgregor @kevin_klyman @sayashk @RishiBommasani @PeterSlattery1 @random_walker @percyliang Congrats! Amazing to see it happening

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Carlos Tecnico@FutbolmeAI

@evijit Nice. Will be reporting GPT next time it decides to go rogue 🙄

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