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The DFEH’s case against Tesla has been filed, and its allegations are very, very serious

The Fremont factory. (Credit: Tesla)

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Just a few days ago, Tesla noted in a blog post that the California Department of Fair Employment and Housing (DFEH) is intending to file a lawsuit against the company over alleged systemic racial discrimination and harassment in the its CA facilities. The DFEH’s lawsuit has now been filed, and just as Tesla’s blog post suggested, its accusations are indeed very, very serious. 

The lawsuit, which was electronically filed to the Superior Court of California, County of Alameda on February 9, 2022, pointed out that Tesla is currently the “largest and highest-profile” electric car company in the world. The suit also highlighted that “Tesla’s Fremont factory is the only nonunion major American automotive plant in the country.” And while a job at Tesla is typically seen as a “golden ticket” for those without a technical background or college degree to secure a job in tech and a path to a career and a living wage, there is segregation and a systemic racism issue prevalent in the company’s CA facilities. 

The Department of Fair Employment and Housing alleges that this segregation, as well as the absence of Black and/or African Americans in leadership roles, has resulted in rampant racism being left unchecked for years. 

“As early as 2012, Black and/or African American Tesla workers have complained that Tesla production leads, supervisors, and managers constantly use the n-word and other racial slurs to refer to Black workers. They have complained that swastikas, “KKK,” the n-word, and other racist writing are etched onto walls of restrooms, restroom stalls, lunch tables, and even factory machinery. They have complained that Black and/or African American workers are assigned to more physically demanding posts and the lowest-level contract roles, paid less, and more often terminated from employment than other workers. 

“They have also complained that Black and/or African American workers are often denied advancement opportunities, and more often and more severely disciplined than non-Black workers. More significantly, these numerous complaints by Black and/or African American workers about racial harassment, racial discrimination, and retaliation lodged over a span of almost a decade have been futile. For example, Defendants turned, and continue to turn, a blind eye to years of complaints from Black workers who protest the commonplace use of racial slurs on the assembly line. Tesla was, and continues to be, slow to clean up racist graffiti with swastikas and other hate symbols scrawled in common areas.” 

Details of the allegations against Tesla were quite shocking, as they include instances that, for all intents and purposes, should have resulted in a quick termination against the perpetrators. This is something that Tesla has reportedly done in the past, as outlined by the company in its response to a $137 million jury verdict, which came as a result of a lawsuit filed by ex-employee Owen Diaz, who accused the company of racial abuse during his tenure around 2015 through 2016. According to Tesla, two contractors behind Diaz’s racial abuse were promptly terminated, while another was suspended following an internal investigation. 

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Following are some of the detailed allegations outlined by the DFEH against Tesla. 

“Throughout the day, every day, Black and/or African American workers heard Defendants’ workers, leads, supervisors, and managers make racial slurs and comments about Black workers.27 Examples of the racist language include the n-word, “porch monkey,” “monkey toes,” “boy,” “hood rats,” and “horse hair.” Defendants’ workers, including production leads and supervisors, made references to Black and/or African Americans in racist comments and racist jokes such as “N[ ] word out of the hood,” “from the ghetto,” “Tesla [was] hiring lazy coons,” and “go back to Africa.”

“Because the factory was racially segregated, Defendants’ workers referred to the areas where many Black and/or African Americans worked as the ‘porch monkey station.’ Defendants’ workers with tattoos of the Confederate flag made their racially incendiary tattoos visible to intimidate Black and/or African American workers. Racial slurs were also dispensed in Spanish and included ‘mayate’ and ‘negrita.’ Additionally, Defendants’ workers referred to the Tesla factory as the ‘slaveship’ or ‘the plantation,’ where Defendants’ production leads ‘crack[ed] the whip.’ Many Black and/or African American workers understood these terms to be references to how Defendants treated its Black and/or African American workers. One Black worker heard these racial slurs as often as 50-100 times a day.

“These Black and/or African American workers also had racial slurs directed at them. These workers were subjected to Defendants’ production associates, leads, and supervisors directly calling them the n-word throughout the day. One worker heard Defendants’ production associates and leads tell her to ‘Shut the fuck up, N[ ],’ and ‘All blacks look alike.’ Another Black worker reported that at least twice Defendants’ workers mocked him for eating watermelon during lunch. They accused him of being lazy, saying, ‘You’re eating watermelon, that’s why you’re lazy.’ These co-workers also speculated about his genitals and referred to him as ‘Mandingo’ or ‘big black guy.’ Another worker heard Defendants’ production lead and production associate crack racist jokes loud enough for others to hear. When he raised the jokes with them, the production associate slapped his shoulder and said it was just a joke. When another Black worker protested to being called a racial slur and asked Defendants’ production associates, leads, and supervisor to refer to him by his name, they retorted, ‘This N[ ] is crazy’ or ‘This N[ ] is tripping.’ They called him a snitch for complaining. 

“Notably, Defendants’ leads, supervisors, and managers were active participants and/or witnesses to these racist comments. Black and/or African American workers reported that Defendants’ leads and supervisors on the production line often said, ‘That stupid N[ ] over there’ or ‘That fucking N[ ], I can’t stand them.’ Regarding a group of Black production associates, Defendants’ supervisor said that “there [was] too many of them in there. They are not Tesla material.” Defendants’ supervisors complained about where Black and/or African American workers were assigned, saying, ‘Monkeys work outside,’ and ‘Monkeys need a coat in cold weather.’ A supervisor pointedly asked one African American worker, ‘Do most Africans have bones through their noses?’ Another African American worker reported that a group of Defendants’ production leads often laughed at her whenever she walked by them. These leads muttered’ N[ ]’ or ‘Shut up, N[ ]’ to her at first. When she started getting awards for her work performance, these leads openly called her these racial slurs. 

“On a daily basis, Black and/or African American workers were confronted with racist writing while working at Tesla. They saw racist graffiti – including’ N[ ],’ ‘KKK,’ swastikas, the Confederate flag, a white supremist skull, ‘go back to Africa,’ and ‘mayate’ – written on the restroom walls, restroom stalls, lockers, workplace benches, workstations, lunch tables, and the break room. These slurs were even etched onto Defendants’ machinery. One Black worker observed ‘hang N[ ]’ penned next to a drawing of a noose in the breakroom restroom. This worker also saw ‘all monkeys work outside’ and ‘fuck N[ ]’ on the breakroom walls. These racial slurs and racial comments, apparent to all who walked by, were left up for months, without Defendants bothering to remove them.” 

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As noted by Tesla in its recent blog post, it would be asking the court to pause the DFEH’s case to ensure that facts and evidence will be heard. The EV maker also noted that despite repeated requests, the DFEH has declined to provide Tesla with specific allegations or the factual basis for its lawsuit. Tesla did note, however, that over the past five years, the DFEH has been asked on almost 50 occasions by individuals who believed that they were discriminated against or harassed to investigate the company. But on every single occasion, the DFEH did not find any misconduct against Tesla. 

Teslarati has sent an inquiry to the California DFEH about its case against Tesla, and why it waited years to file a case against the EV maker considering the gravity of the suit’s accusations. The DFEH’s response would likely be covered in a separate article that would be written in the near future. 

The DFEH’s lawsuit against Tesla can be viewed below. 

DFEH vs Tesla by Simon Alvarez on Scribd

Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla crosses major Unsupervised Self-Driving milestone

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Credit: Tesla

Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.

Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.

The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.

In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.

Credit: Tesla

Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.

The company has not released a city-by-city breakdown of the one million unsupervised miles.

The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.

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Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.

The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.

Credit: Tesla

Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.

The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.

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Tesla Robotaxi will be a 24/7 service: here’s when

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Credit: @AdanGuajardo/X

Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.

The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.

That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.

Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.

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Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.

By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.

Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.

Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.

If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.

That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.

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Tesla Full Self-Driving will now overtake manual driving to avoid disaster

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Credit: Tesla

Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.

Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.

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The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.

The intervention is meant as a last-resort safety net, not a replacement for attentive driving.

Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.

After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.

The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.

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Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.

The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.

If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.

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