Incident 187: YouTuber Tested Tesla on Self Driving Mode, Colliding with Street Pylons

Description: A YouTuber who was a Tesla’s employee conducted an on-road review of Tesla's Full Self Driving (FSD) Beta, showing its navigation in various road environments in San Jose and collision with a bollards during Autopilot, allegedly causing his dismissal from the company.

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Alleged: Tesla developed an AI system deployed by AI Addict, which harmed John Bernal and San Jose public.

Incident Stats

Incident ID
187
Report Count
3
Incident Date
2022-02-04
Editors
Sean McGregor, Khoa Lam
Applied Taxonomies
GMF, MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

6.5. Governance failure

Risk Domain

  1. Socioeconomic & Environmental Harms

Entity

Human

Timing

Post-deployment

Intent

Intentional

Tesla Full Self Driving Crash
youtu.be · 2022

Hey YouTube AI addict here welcome to another FSD Beta video. Today we are on 10.10 in downtown San Jose for another downtown stress test. I'm so sorry you guys haven't seen us here in a while; it's been maybe a month since we made a video …

Tesla fired an employee after he posted driverless tech reviews on YouTube
cnbc.com · 2022

Tesla has fired a former Autopilot employee named John Bernal after he shared candid video reviews on his YouTube channel, AI Addict, showing how the company’s Full Self Driving Beta system worked in different locations around Silicon Valle…

Tesla fired employee who reviewed its driver assist features on YouTube
theverge.com · 2022

John Bernal shared clips of close calls and crashes on his channel, AI Addict

Tesla has a complicated relationship with customers who pay to test the beta version of its “Full Sell Driving” software. Often, these people are diehard fans, ke…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.
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