Exclusive: Mercor’s Fast Growth Relies on Biggest AI Companies, Documents Show Save 25% to unlock this story

Sign in
Subscribe

    Data Tools

    • About Pro
    • Enterprise Software Startup Takeover List 2026
    • The Next GPs 2026
    • The Executives Leading the Data Center Race
    • The Next GPs 2025
    • The Rising Stars of AI Research
    • Leaders of the AI Shopping Revolution
    • Enterprise Software Startup Takeover List 2025
    • Org Charts
    • The Information 50 2025
    • Generative AI Takeover List
    • Generative AI Database
    • AI Chip Database
    • AI Data Center Database
    • Tech IPO Tracker
    • Tech Sentiment Tracker
    • Gigafactory Database

    Special Projects

    • The Information 50 Database
    • VC Diversity Index
    • Enterprise Tech Powerlist
  • Org Charts
  • Deep Research
  • Tech
  • Finance
  • Weekend
  • Charts
  • Events
  • TITV
    • Directory

      Search, find and engage with others who are serious about tech and business.

    • Forum

      Follow and be a part of discussions about tech, finance and media.

    • Brand Partnerships

      Premium advertising opportunities for brands

    • Group Subscriptions

      Team access to our exclusive tech news

    • Newsletters

      Journalists who break and shape the news, in your inbox

    • Video

      Catch up on conversations with global leaders in tech, media and finance

    • Partner Content

      Explore our recent partner collaborations

      XFacebookLinkedInThreadsInstagram
    • Help & Support
    • RSS Feed
    • Careers
    Sign in
  • About Pro
  • Enterprise Software Startup Takeover List 2026
  • The Next GPs 2026
  • The Executives Leading the Data Center Race
  • The Next GPs 2025
  • The Rising Stars of AI Research
  • Leaders of the AI Shopping Revolution
  • Enterprise Software Startup Takeover List 2025
  • Org Charts
  • The Information 50 2025
  • Generative AI Takeover List
  • Generative AI Database
  • AI Chip Database
  • AI Data Center Database
  • Tech IPO Tracker
  • Tech Sentiment Tracker
  • Gigafactory Database

SPECIAL PROJECTS

  • The Information 50 Database
  • VC Diversity Index
  • Enterprise Tech Powerlist
Deep Research
TITV
Tech
Finance
Weekend
Charts
Events
Newsletters
  • Directory

    Search, find and engage with others who are serious about tech and business.

  • Forum

    Follow and be a part of discussions about tech, finance and media.

  • Brand Partnerships

    Premium advertising opportunities for brands

  • Group Subscriptions

    Team access to our exclusive tech news

  • Newsletters

    Journalists who break and shape the news, in your inbox

  • Video

    Catch up on conversations with global leaders in tech, media and finance

  • Partner Content

    Explore our recent partner collaborations

Subscribe
  • Sign in
  • Search
  • Opinion
  • Venture Capital
  • Artificial Intelligence
  • Startups
  • Market Research
    XFacebookLinkedInThreadsInstagram
  • Help & Support
  • RSS Feed
  • Careers

In-depth insights in seconds. Ask Deep Research.

Exclusive

How an Uber Whistleblower Tried to Stop Self-Driving Car Disaster

An Uber self-driving car being tested in Arizona in February. Photo by AP
By
Amir Efrati
[email protected]Profile and archive

Five days before an Uber self-driving car prototype killed a pedestrian in Arizona last March, a manager in Uber’s autonomous vehicle unit warned the group’s top executives that the software powering the company’s prototype robotaxis was dangerous. He also warned that the human back-up drivers in the vehicles weren’t properly trained to do their jobs or were not terminated even if they repeatedly screwed up, The Information has learned.

Robbie Miller, a manager in the testing-operations group, sent an 890-word email to Eric Meyhofer, the head of Uber’s autonomous vehicle unit, Jon Thomason, VP of software, and five other executives and lawyers on March 13. In the email, which is here and also is pasted at the bottom of this article, Mr. Miller warned that Uber’s self-driving cars being tested are “routinely in accidents resulting in damage. This is usually the result of poor behavior of the operator [backup driver] or the AV [autonomous vehicle] technology.”

Recommended