Related: National Safety Council's CEO Joins Waymo to Spearhead Safety
Ex-NHTSA Official Joins Uber's Autonomous Vehicle Team
Uber Technologies Inc. has hired Nat Beuse, a long-time official at the National Highway Traffic Safety Administration overseeing vehicle safety research, to support the company's efforts to develop safe self-driving vehicles, reports Reuters.

Nat Beuse, a veteran NHTSA vehicle safety official, is joining Uber's autonomous vehicle initiative.
Photo via Diablanco/Wikimedia.
Uber Technologies Inc. has hired Nat Beuse, a long-time official at the National Highway Traffic Safety Administration overseeing vehicle safety research, to support the company's efforts to develop safe self-driving vehicles, reports Reuters.
"Uber's approach to self-driving vehicles is an opportunity to make a difference in the safe commercialization of this revolutionary technology, which I've spent a considerable amount of time working with in recent years," Beuse said in an Uber statement. "It's clear to me that the team here is dedicated to prioritizing safety."
The ride hailing service halted testing on its autonomous vehicles after one of its self-driving vehicles struck and killed a pedestrian last March in Tempe, Arizona.
However, Uber appears ready to resume testing and recently asked Pennsylvania for permission to do so, reports Reuters. The company is awaiting a response.
Uber has said it will resume testing with two employees in the front seat and will also enable an automatic braking system at all times. In addition, the company intends to more strictly monitor safety employees, notes the report.
More Safety

Managing Road Risk at Scale: Why Fleet Safety Needs a Data-Driven Framework
Insights from the FIA Road and Driver Safety Indexes reveal how to manage road risk on a larger scale.
Read More →
Stellantis Recalls 1.3 Million Jeep Vehicles Worldwide Over Fire Risk
Stellantis is recalling more than 1.3 million Jeep Wrangler and Gladiator models worldwide over a fire risk linked to power steering pump wiring.
Read More →
Coaching Is Not Training, Even When AI Is Doing It
AI-powered safety platforms can detect risky behaviors and deliver immediate feedback. But effective driver development still requires a foundation of training followed by coaching that reinforces those skills.
Read More →
How Emotions Behind the Wheel Can Affect Fleet Safety
During National Safety Month, fleets are encouraged to look beyond distracted driving and recognize how stress, fatigue, and emotional well-being influence driver performance and crash risk.
Read More →
Nominations Open for 2026 Fleet Safety Award
Nominations have officially opened for the 2026 Fleet Safety Award Winner.
Read More →
Turning Connected Vehicle Data Into Decisions That Matter
Fleet leaders have more data than ever, but turning that data into clear, actionable decisions remains a challenge. This white paper shows how leading organizations are using connected vehicle data to improve safety, reduce costs, and optimize fleet performance. Learn how to turn insight into action across your fleet.
Read More →
Cameras, Safety and Insurance: From Reactive Claims to Real-time Prevention
Commercial auto remains one of the most challenging and costly lines of coverage for fleet operators and insurers alike. Learn more about how to effectively address these issues from Onur Aksan, Enterprise Business Development Executive, Geotab.
Read More →
NAFA Fleet Safety Symposium to Collocate With 2026 Fleet Forward Conference
The daylong certificate program will precede the Fleet Forward Conference at the Gaylord National Harbor in Maryland.
Read More →
The Distractions You Can’t Turn Off: What Drivers Face Outside the Vehicle
Fleet drivers face constant visual, cognitive, and environmental interruptions the moment they hit the road. From roadside chaos to mental fatigue and digital overload, today’s biggest driving risks often come from outside the vehicle itself.
Read More →
FLASH Weather AI Launches First Deep-Learning Hail Prediction Model With High-Resolution Forecasting
FLASH Weather AI has launched a first-of-its-kind hail prediction model capable of forecasting hail size and arrival time at 1-kilometer resolution up to 55 minutes ahead, giving fleets and insurers critical time to prepare for severe storms.
Read More →
