Educational Session - Caught on Camera, Missed by AI: The Growing Fleet Liability Crisis

AI-powered dash cam systems have become standard tools for improving driver behavior and reducing risk. But as video safety programs mature, a more difficult question emerges: What if the greatest risk is not the event your system caught? What if the greater risk is the event your system missed, under-classified, or never escalated?

This panel will explore one of the most important emerging issues in fleet safety: false negatives in video-based safety programs. These are risky behaviors, critical events, or severity signals that may exist in the video and data a fleet already has but are never surfaced by AI as meaningful safety risks.

For fleet operators, this is more than a technology issue. It is a safety, governance, insurance, and legal exposure issue. If video exists, but the risk inside that video is not identified, coached, escalated, or documented, fleets may be left in a vulnerable position after a crash, claim, or lawsuit.  Hear from industry experts as they explore the need for ethical AI and provide best practices for protecting your fleet against the perils of false negatives.