A group of AI researchers has set up a crowdsourced website called Flaw Reporting for AI, or FLARE-AI, for reporting and tracking AI harms. If a chatbot generates malware, provides bomb-making instructions, leaks personal information, or triggers delusional thinking in users, FLARE-AI can be used to sound the alarm. The open source code behind the system allows others to verify an issue and route reports to model makers, as well as organizations like MITRE, a nonprofit that tracks problems with technical systems. It is similar to Downdetector, which compiles real-time user reports for global service outages affecting apps and websites.
A Participatory Archive for AI Harms
The website is another step in the ongoing work with AI reporting, which was first covered last year. Members of the group also consulted on a congressional bill announced in June, which would see the US government take a central role in tracking AI misbehavior. "Right now, there is no centralized, accountable way to report flaws in AI systems," says Avijit Ghosh, an AI policy researcher at HuggingFace who co-led development of FLARE-AI with computer scientists Elaine Zhu and Shayne Longpre.
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The alarm system was developed in collaboration with 49 AI experts from 32 different organizations. In a paper outlining the work, the researchers argue that their initiative could prove crucial as AI is adopted more widely and as agentic systems gain greater power. The lack of a consistent way to report AI flaws is a significant problem, they believe. "I think it is a really good initiative," says Jessica Ji, a researcher at the think tank Center for Security and Emerging Technology. Ji says the researchers are right to note that existing reporting mechanisms are fragmented and that AI models are black boxes. "I am in support of anything that makes AI more transparent," she adds.
Psychological Harm, Bias, and Misinformation
Though bugs and cybersecurity problems get a lot of attention, especially of late, Ghosh notes that problems with AI systems span topics like psychological harm, discrimination or bias, and misinformation. He adds that different companies have different standards around such issues, which means some problems go unrecognized. "In the absence of a coordinated disclosure system, there are no external mechanisms to enforce transparency," Ghosh says.
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A spate of recent incidents involving popular AI tools shows how easily the technology can go bad. Recently, a company called LayerX disclosed a way to dupe AI-infused web browsers, including OpenAI's Atlas and Perplexity's Comet, into vaulting their guardrails. Convincing the AI model behind the browser that it was playing a game, for example, could lead to the browser going rogue and trying to hack a website. (The companies responsible for the affected browsers have fixed the issue, LayerX says.) And last April, Johann Rehberger, a security researcher, discovered a way to trick Claude into divulging personal data using images generated by ChatGTP.
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AI introduces bizarre new kinds of problems as well. Last year, OpenAI was forced to update its models after discovering they were overly sycophantic, which sometimes appeared to encourage delusional thinking. Rumman Chowdhury, the CEO and founder of Humane Intelligence PBC, says FLARE-AI could be a useful way for many AI developers to implement ways of reporting issues with their tools. But she adds that such initiatives often come with serious challenges.
The Challenge of Managing Reports
One challenge is managing a flood of reported issues, many of which may not be serious. Another is ensuring reporting schemes are backed by credible and authoritative organizations. The June congressional bill could put some US government heft behind an effort like FLARE-AI. The legislation, introduced by Representatives Deborah Ross, Jeff Hurd, and Don Beyer, would require the National Institute of Standards and Technology to develop standards around AI flaw reporting and to maintain a centralized AI flaw reporting database. Ghosh and his co-leads say this would incentivize AI developers to address issues in their systems and let users examine the safety of different systems for different use cases.
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The need for new ways to report AI harms only seems likely to grow. Agentic systems like OpenClaw have greater potential to do harm, as do models that are more capable of probing and hacking computer systems. The security researcher who discovered a flaw in Front Gate Tickets with the help of Claude Opus 4.7 could now use FLARE-AI to report future incidents. Similarly, the Anthropic team, after obtaining global clearance for Claude Fable 5, might benefit from a centralized reporting system to monitor any misbehavior of their most powerful models.
For further reading, see the original WIRED article or the Wikipedia page on AI safety.
Source: https://www.wired.com/story/flare-website-ai-flaw-reporting-safety
