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Will AI violate human rights? Humanitarian groups are trying to make sure they don’t
A group of human rights organizations has signed the Toronto Declaration on Machine Learning, an initiative that calls for regulations designed to protect people from human rights violations caused by artificial intelligence. The declaration was signed on Wednesday, with groups such as Amnesty International, Access Now, Human Rights Watch, and the Wikimedia Foundation pledging their support.
The Toronto Declaration is rather unique in the way that it draws from international human rights laws. According to the declaration, it is imperative for people who are discriminated against by AI-based systems to have an avenue where they can seek reparations, considering that intelligent machines would likely “learn” implicit biases based on the information that they are fed. As could be seen in the declaration’s Preamble, the emergence of new technologies lies the need to develop new ways to protect human rights, particularly among diverse individuals and marginalized groups. The declaration further noted that AI-based technologies could “exacerbate discrimination at scale.”
“Existing patterns of structural discrimination may be reproduced and aggravated in situations that are particular to these technologies – for example, machine learning system goals that create self-fulfilling markers of success and reinforce patterns of inequality, or issues arising from using non-representative or “biased” datasets.
“All actors, public and private, must prevent and mitigate discrimination risks in the design, development and, application of machine learning technologies and that ensure that effective remedies are in place before deployment and throughout the lifecycle of these systems.”
Apart from the rights to equality and non-discrimination, the Toronto Declaration also highlights the importance of developing safeguards against possible AI-driven human rights violations in areas such as privacy, data protection, freedom of expression, participation in cultural life, equality before the law, and meaningful access to remedy. The declaration also notes that intelligent computer systems that make decisions and process data can implicate economic, social, and cultural rights, such as the provision of healthcare and education, as well as access to labor and employment.
In order to prevent human rights violations caused by artificial intelligence, the Toronto Declaration has called on developers to foster inclusion, diversity, and equity to ensure that AI-based systems do not develop discriminatory behavior.
“Intentional and inadvertent discriminatory inputs throughout the design, development and, use of machine learning systems create serious risks for human rights; systems are for the most part developed, applied and reviewed by actors which are largely based in particular countries and regions, with limited input from diverse groups in terms of race, culture, gender, and socio-economic backgrounds. This can produce discriminatory results.
“Inclusion, diversity, and equity entails the active participation of, and meaningful consultation with, a diverse community to ensure that machine learning systems are designed and used in ways that respect non-discrimination, equality, and other human rights.”
The full text of the Toronto Declaration on Machine Learning can be accessed here.
The inherent risks of hyper-intelligent machines are one of the key reasons behind the creation of OpenAI; a nonprofit organization co-founded by Elon Musk aimed at developing artificial intelligence that is inherently safe for people. While Musk has since stepped down from his post as a board member of OpenAI, the organization has shown signs that it is in the process of expanding. Earlier this year, for one, OpenAI announced that it is actively hiring a Recruiting Coordinator, who will be tasked to help grow the company’s team.
Elon Musk
Tesla showcases Optimus humanoid robot at AWE 2026 in Shanghai
Tesla’s humanoid robot was presented as part of the company’s exhibit at the Shanghai electronics show.
Tesla showcased its Optimus humanoid robot at the 2026 Appliance & Electronics World Expo (AWE 2026) in Shanghai. The event opened Thursday and featured several Tesla products, including the company’s humanoid robot and the Cybertruck.
The display was reported by CNEV Post, citing information from local media outlet Cailian and on-site staff at the exhibition.
Tesla’s humanoid robot was presented as part of the company’s exhibit at the Shanghai electronics show. On-site staff reportedly stated that mass production of the robot could begin by the end of 2026.
Tesla previously indicated that it plans to manufacture its humanoid robots at scale once production begins, with its initial production line in the Fremont Factory reaching up to 1 million units annually. An Optimus production line at Gigafactory Texas is expected to produce 10 million units per year.
Tesla China previously shared a teaser image on Weibo showing a pair of highly detailed robotic hands believed to belong to Optimus. The image suggests a design with finger proportions and structures that closely resemble those of a human hand.
Robotic hands are widely considered one of the most difficult engineering challenges in humanoid robotics. For a system like Optimus to perform complex real-world tasks, from factory work to household activities, the robot would require highly advanced dexterity.
Elon Musk has previously stated that Optimus has the capability to eventually become the first real-world example of a Von Neumann machine, a self-replicating system capable of building copies of itself, even on other planets. “Optimus will be the first Von Neumann machine, capable of building civilization by itself on any viable planet,” Musk wrote in a post on X.
Elon Musk
Tesla Cybercab production line is targeting hundreds of vehicles weekly: report
According to the report, Tesla has been adding staff and installing new equipment at its Austin factory as it prepares to begin Cybercab production.
Tesla is reportedly designing its Cybercab production line to manufacture hundreds of the autonomous vehicles each week once mass production begins. The effort is underway at Gigafactory Texas in Austin as the company prepares to start building the Robotaxi at scale.
The details were reported by The Wall Street Journal, citing people reportedly familiar with the matter.
According to the report, Tesla has been adding staff and installing new equipment at its Austin factory as it prepares to begin Cybercab production.
People reportedly familiar with Tesla’s plans stated that the company has been growing its staff and bringing in new equipment to start the mass production of the Cybercab this April.
The Cybercab is Tesla’s upcoming fully autonomous two-seat vehicle designed without a steering wheel or pedals. The vehicle is intended to operate primarily as part of Tesla’s planned Robotaxi ride-hailing network.
“There’s no fallback mechanism here. Like this car either drives itself or it does not drive,” Musk stated during Tesla’s previous earnings call.
Tesla has indicated that Cybercab production could begin as soon as April, though Elon Musk has noted that early production will likely be slow before ramping over time. Musk has stated that the Cybercab’s slow ramp is due in no small part to the fact that it is a completely new vehicle platform.
Tesla’s Cybercab is designed to work with the company’s Full Self-Driving (FSD) system and support its planned autonomous ride-hailing service. The company has suggested that the vehicle could cost under $30,000, making it one of Tesla’s most affordable models if produced at scale. Musk has confirmed in a previous X post that the vehicle will indeed be offered to regular consumers at a price below $30,000.
Musk has previously stated that Tesla could eventually produce millions of Cybercabs annually if demand and production capacity scale as planned.
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Tesla VP explains latest updates in trade secret theft case
Tesla reportedly caught Matthews copying the tech into machines that were sold to competitors, claiming they lied about doing so for three years, and continued to ship it. That is when Tesla chose to sue Matthews in July 2024 in Federal court, demanding over $1 billion in damages due to trade secret theft.
Tesla Vice President Bonne Eggleston explained the latest updates in a trade secret theft case the company has against a former manufacturing equipment supplier, Matthews International.
Back in 2024, Tesla had filed a lawsuit against Matthews International, alleging that the firm stole trade secrets about battery manufacturing and shared those details with some of Tesla’s competitors.
Early last year, a U.S. District Court Judge denied Tesla’s request to block Matthews International from selling its dry battery electrode (DBE) technology across the world. The judge, Edward Davila, said that the patent for the tech was due to Matthews’ “extensive research and development.”
The two companies’ relationship began back in 2019, as Tesla hired Matthews to help build the equipment for its 4680 battery cell. Tesla shared confidential software, designs, and know-how under strict secrecy rules.
Fast forward a few years, and Tesla reportedly caught Matthews copying the tech into machines that were sold to competitors, claiming they lied about doing so for three years, and continued to ship it. That is when Tesla chose to sue Matthews in July 2024 in Federal court, demanding over $1 billion in damages due to trade secret theft.
Now, the latest twist, as this month, a Judge issued a permanent injunction—a court order banning Matthews from using certain stolen Tesla parts or designs in their machines. Matthews is also officially “liable” for damages. The exact amount would still to be calculated later.
Bonne Eggleston, a VP for Tesla, said on X today that Matthews is a supplier who “exploited customer IP through theft or deception,” and has no place in Tesla’s ecosystem:
Buyer beware: Matthews International stole Tesla’s DBE technology and is now subject to an injunction and liable for damages.
During our work with Matthews, we caught them red-handed copying our technology—including proprietary software and sensitive mechanical designs—into… https://t.co/Toc8ilakeM
— Bonne Eggleston (@BonneEggleston) March 10, 2026
Tesla calls this a big win and warns other companies: “Buyer beware—don’t buy from thieves.”
Matthews hit back with a press release claiming victory. They say an arbitrator ruled they can keep selling their own DBE equipment to anyone and rejected Tesla’s request for a total sales ban. They call Tesla’s claims “nonsense” and insist their 20-year-old tech is independent. Both sides are spinning the same narrow ruling: Matthews can sell their version, but they’re blocked from using Tesla’s specific secrets.
What are Tesla’s Current Legal Options
The case isn’t over—it’s moving to the damages phase. Tesla can:
- Push forward in court or arbitration to calculate and collect huge financial penalties (potentially $1 billion+ if willful theft is proven).
- Enforce the permanent injunction with contempt charges, fines, or even jail time if Matthews violates it.
- Challenge Matthews’ new patents that allegedly copy Tesla’s work, asking courts to invalidate them or add Tesla as co-inventor.
- Seek extra damages, lawyer fees, and possibly punitive awards under the federal Defend Trade Secrets Act and California law.
Tesla could also refer evidence to federal prosecutors for possible criminal trade-secret charges (rare but serious). Settlement is always possible, but Tesla’s fiery public response suggests they want full accountability.
This isn’t just corporate drama. It shows why trade secrets matter even when Tesla open-sources some patents, confidential know-how shared in trust must stay protected. For the EV industry, it’s a reminder: steal from your biggest customer, and you risk losing everything.
Tesla showcases Optimus humanoid robot at AWE 2026 in Shanghai
Tesla Cybercab production line is targeting hundreds of vehicles weekly: report
