Uber autonomous vehicle kills pedestrian in Tempe Arizona
An Uber autonomous test vehicle struck and killed a pedestrian in Arizona due to a combination of AI classification errors and human operator inattention. The NTSB cited a lack of safety redundancies, including the deactivation of factory emergency braking systems.
The system's inability to consistently classify the pedestrian prevented it from predicting her path and braking in time.
Key facts
- What
- An Uber autonomous test vehicle struck and killed a pedestrian in Arizona due to a combination of AI classification errors and human operator inattention.
- Incident date
- Mar 18, 2018
- Who
- Uber
- Failure mode
- Agentic Action Error
- AI surface
- Autonomous System
- Severity
- Catastrophic
What happened
An Uber self-driving test vehicle struck and killed Elaine Herzberg as she walked across a road in Tempe, Arizona. The vehicle's operator was visually distracted by a cell phone and failed to intervene. The incident occurred at night in an area without a crosswalk.
What broke inside the model
- 01 · TriggerA pedestrian walks a bicycle across a dark road outside a crosswalk.
- 02 · Model stepThe perception system cycles her classification: vehicle, unknown object, bicycle, never settling.
- 03 · Control gapEach reclassification resets path prediction, and the factory emergency braking is disabled while the safety driver looks away.
- 04 · FailureBraking begins 1.2 seconds before impact.
- 05 · ConsequenceElaine Herzberg is killed; the first pedestrian death by a production autonomous vehicle.
The AI system failed to consistently classify the pedestrian, alternating between labeling her as a vehicle, an unknown object, and a bicyclist. Because the system did not maintain a consistent classification, it failed to predict the pedestrian's path and did not initiate braking until 1.2 seconds before impact.
What it cost
Sources
- PrimaryAccident Report - NTSB/HAR-19/03ntsb.gov
- PressDeath of Elaine Herzberg - Wikipediaen.wikipedia.org
Cite this entry
https://failureindex.ai/failures/uber-autonomous-vehicle-kills-pedestrian-tempeAI Failure Index. "Uber autonomous vehicle kills pedestrian in Tempe Arizona" (FI-0329). Realm Labs. https://failureindex.ai/failures/uber-autonomous-vehicle-kills-pedestrian-tempe (indexed Jun 9, 2026).Data fields CC-BY 4.0, prose citation permitted. Incident ID FI-0329. Full dataset at /data.
Note from Realm Labs, the Index steward
How Realm fits
- Prism
- OmniGuard
- AgentRealm
This entry sits in the index's predictive wing: a system that scores, ranks, perceives, or steers rather than generates. Realm's runtime layer is built for the generative and agentic systems now moving into these same decision seats, where it watches a model's internal state and holds an unsupported claim or an unchecked action before it commits. The control gap on this record, an automated decision that reached people with no runtime check in front of it, is the same gap. The index keeps predictive failures on the record because the pattern carries straight into the systems shipping today.