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Amazon employees demand stoppage of facial recognition contract with law enforcement
Amazon workers have penned a letter to Jeff Bezos calling on the CEO to immediately cancel the access of law enforcement agencies to its Rekognition facial recognition system. The employees’ letter comes on the heels of several Amazon shareholders who have also asked the e-commerce giant to stop selling Rekognition to the police.
As could be seen in the letter to the CEO, Amazon’s employees stated that they do not agree to have their work used for purposes that could target marginalized groups. The letter also cited the United States government’s practice of separating children away from their parents at the border as a key reason why Amazon should cancel its contract with law enforcement agencies. Amazon workers further called for the removal of Palantir, a data-mining company, from the client list of Amazon Web Services (AWS). Palantir, a company founded by Peter Thiel, currently has a contract with ICE and is actively involved in the agency’s deportation and detention programs.
Rekognition is, at its core, an API for deep learning-based analysis to detect, track, and analyze people and objects in videos. In Amazon’s advertisement for the service on YouTube, the company could be seen promoting Rekognition’s facial tracking capabilities such as smart home monitoring, celebrity detection in videos, and more serious applications such as the recognition and tracking of persons of interest. An investigation conducted by the American Civil Liberties Union earlier this year determined that Amazon actively marketed Rekognition to law enforcement officials, citing the software’s advanced face tracking capabilities.
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- A demonstration of the capabilities of Amazon Rekognition. [Credit: Amazon Cloud Services/YouTube]
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- A demonstration of the capabilities of Amazon Rekognition. [Credit: Amazon Cloud Services/YouTube]
The Amazon employees’ initiative against the company’s ties to law enforcement comes on the heels of similar protests in Microsoft and Google. Earlier this year, Google was beset by a brief exodus of workers and employee protests after it was revealed that the company had aided the Pentagon in its AI-driven Project Maven initiative, which uses artificial intelligence to effectively analyze footage from military drones. While Google stated that the work it has done with the Pentagon was mundane, the company ultimately opted not to renew its Project Maven contract, while also announcing new ethics principles to govern its artificial intelligence work.
Microsoft also found itself in hot water last May after it was revealed that the company has a $19.4 million contract with the United States’ Immigration and Customs Enforcement (ICE). In a letter addressed to CEO Satya Nadella, Microsoft employees stated that they “refuse to be complicit” in ICE’s practice of marginalizing select ethnic groups and actively separating families. In a response to its employees’ protests, Microsoft noted that the company only provides non-surveillance services such as mail, calendar, messaging and document management to the government agency.
The Amazon workers’ full letter to Jeff Bezos could be read in full below.
Dear Jeff,
We are troubled by the recent report from the ACLU exposing our company’s practice of selling AWS Rekognition, a powerful facial recognition technology, to police departments and government agencies. We don’t have to wait to find out how these technologies will be used. We already know that in the midst of historic militarization of police, renewed targeting of Black activists, and the growth of a federal deportation force currently engaged in human rights abuses — this will be another powerful tool for the surveillance state, and ultimately serve to harm the most marginalized. We are not alone in this view: over 40 civil rights organizations signed an open letter in opposition to the governmental use of facial recognition, while over 150,000 individuals signed another petition delivered by the ACLU.
We also know that Palantir runs on AWS. And we know that ICE relies on Palantir to power its detention and deportation programs. Along with much of the world we watched in horror recently as U.S. authorities tore children away from their parents. Since April 19, 2018 the Department of Homeland Security has sent nearly 2,000 children to mass detention centers. This treatment goes against U.N. Refugee Agency guidelines that say children have the right to remain united with their parents, and that asylum-seekers have a legal right to claim asylum. In the face of this immoral U.S. policy, and the U.S.’s increasingly inhumane treatment of refugees and immigrants beyond this specific policy, we are deeply concerned that Amazon is implicated, providing infrastructure and services that enable ICE and DHS.
Technology like ours is playing an increasingly critical role across many sectors of society. What is clear to us is that our development and sales practices have yet to acknowledge the obligation that comes with this. Focusing solely on shareholder value is a race to the bottom, and one that we will not participate in.
We refuse to build the platform that powers ICE, and we refuse to contribute to tools that violate human rights.
As ethically concerned Amazonians, we demand a choice in what we build, and a say in how it is used. We learn from history, and we understand how IBM’s systems were employed in the 1940s to help Hitler. IBM did not take responsibility then, and by the time their role was understood, it was too late. We will not let that happen again. The time to act is now.
We call on you to:
- Stop selling facial recognition services to law enforcement
- Stop providing infrastructure to Palantir and any other Amazon partners who enable ICE.
- Implement strong transparency and accountability measures, that include enumerating which law enforcement agencies and companies supporting law enforcement agencies are using Amazon services, and how.
Our company should not be in the surveillance business; we should not be in the policing business; we should not be in the business of supporting those who monitor and oppress marginalized populations.
Sincerely,
Amazonians
Here’s Amazon’s advertisement for Rekognition.
https://www.youtube.com/watch?v=SNONL4IecHE
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
Tesla has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla piggybacks recent Supercharger feature with update that takes it further
Tesla Full Self-Driving v14.3.3 driver monitoring: We tested it
