Flare is designed as a public reporting channel for AI failures that users encounter outside formal bug-bounty programs. The site focuses on behavior such as unsafe instructions, privacy leaks, and other model outputs that may need escalation.
The launch reflects a gap in AI accountability. As chatbots and agents reach more users, researchers and operators need ways to collect real-world incidents without relying only on internal testing.