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Will AI violate human rights? Humanitarian groups are trying to make sure they don’t

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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.

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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.

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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 appears to have teased a long-awaited Model Y trim for a Friday launch

The company posted it with its Europe & Middle East account, and it appears to be a Model Y Performance, which has been spotted testing at the famed Nurburgring in Germany.

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Credit: Tesla

Tesla appears to have teased a long-awaited Model Y trim for a launch on Friday.

The company posted it with its Europe & Middle East account, and it appears to be a Model Y Performance, which has been spotted testing at the famed Nurburgring in Germany.

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The Model Y Performance became a big-time hit after it packed the family-style interior with lightning-fast acceleration, speed, and handling.

As Tesla transitioned the Model Y into the updated “Juniper” design, the company took its time to create an even better vehicle with the new Performance configuration.

It has surely taken its time, but the vehicle appears to have undergone some exterior changes to enhance aerodynamics, handling, and overall performance.

We recently went into what was different about the test units spotted at Nurburgring in an article, but we’ll also list them here:

  • New 21″ wheels
  • All black headliner, a big change that was included in the Model Y L, the first time a Model Y has had that option
  • Updated brakes
  • Bucket seats that appear to be similar to the new Model Y L in China
  • New Carbon Fiber Spoiler
  • Performance Badging
  • Changes to both the front and rear bumper
  • Suspension with Adaptive Dampers

Tesla Model Y Performance zips around Nurburgring with new features

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It does not seem like there’s much else it could be, but it is important to note that Tesla has been developing a handful of affordable models. There is a possibility that Tesla could launch one of these on Friday, but it seems unlikely.

The affordable models will likely be coming to the United States or China before they would in Europe.

They would be developed at Gigafactory Texas or Gigafactory Shanghai. The company stated in its Q2 Earnings Shareholder Deck that it had continued to expand its vehicle offerings and successfully manufactured the first builds of a more affordable model in June.

Volume production is planned for the second half of 2025.

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SpaceX Starship Flight 10 was so successful, it’s breaking the anti-Musk narrative

That’s all the proof one could need about the undeniable success of Starship Flight 10.

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Credit: Elon Musk/X

Starship Flight 10 was a huge success for SpaceX. When both the Super Heavy booster and the Starship Upper Stage successfully landed on their designated splashdown zones, the space community was celebrating.

The largest and most powerful rocket in the world had successfully completed its tenth test flight. And this time around, there were no rapid unscheduled disassemblies during the mission.

As per SpaceX in a statement following Flight 10, “every major objective was met, providing critical data to inform designs of the next generation Starship and Super Heavy.” The private space enterprise also stated that Flight 10 provided valuable data by stressing the limits of Starship’s capabilities.

With all of Flight 10’s mission objectives met, one would think that it would be pretty easy to cover the story of Starship’s successful tenth test flight. But that’s where one would be wrong, because Elon Musk companies, whether it be Tesla or SpaceX or xAI, tend to attract negative slant from mainstream media outlets.

This was in full force with Starship Flight 10’s coverage. Take the BBC’s Facebook post about the fight test, which read “Elon Musk’s giant rocket, earmarked for use in a 2027 mission to the Moon, has had multiple catastrophic failures in previous launches.” CNN was more direct with its slant, writing “SpaceX’s troubled Starship prototype pulls off successful flight after months of explosive mishaps” on its headline. 

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While some media outlets evidently adopted a negative slant towards Starship’s Flight 10 results, several other media sources actually published surprisingly positive articles about the successful test flight. The most notable of which is arguably the New York Times, which featured a headline that read “SpaceX’s Giant Mars Rocket Completes Nearly Flawless Test Flight.” Fox News also ran with a notably positive headline that read “SpaceX succeeds at third Starship test flight attempt after multiple scrubs.”

Having covered Elon Musk-related companies for the better part of a decade now, I have learned that mainstream coverage of any of his companies tends to be sprinkled with varying degrees of negative slant. The reasons behind this may never be fully explained, but it is just the way things are. This is why, when milestones such as Starship’s Flight 10 actually happen and mainstream media coverage becomes somewhat objective, I can’t help but be amazed. 

After all, it takes one heck of a company led by one heck of a leader to force objectivity on an entity that has proven subjective over the years. And that, if any, is all the proof one could need about the undeniable success of Starship Flight 10.

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Tesla’s Elon Musk takes another shot at Waymo’s capabilities stemming from LiDAR

“LiDAR also does not work well in snow, rain or dust due to reflection scatter. That’s why Waymos stop working in any heavy precipitation.”

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Tesla CEO Elon Musk has frequently expressed his opinions on LiDAR in the past, but in recent days, the EV maker’s frontman has continued to discuss the weaknesses in the technology and why his company has relied on cameras.

He also mentioned the suite’s limits on Waymo’s capabilities.

Tesla completely abandoned using radar alongside its camera suite a few years ago, something it referred to as “Tesla Vision” at the time. For its vehicles, it has only used cameras since this transition, and Musk has never once shied away from this strategy.

Earlier this week, he discussed the reliance of LiDAR and radar by other companies:

“Lidar and radar reduce safety due to sensor contention. If lidars/radars disagree with cameras, which one wins?

This sensor ambiguity causes increased, not decreased, risk. That’s why Waymos can’t drive on highways.

We turned off radars in Teslas to increase safety. Cameras ftw.”

Elon Musk argues lidar and radar make self driving cars more dangerous

He continued with this narrative again and mentioned Waymo specifically on a second occasion.

Musk’s focus this time was on Waymo vehicles and their capabilities in adverse weather, specifically snow, rain, or even dust storms, and how LiDAR struggles to navigate in these conditions.

He said:

“LiDAR also does not work well in snow, rain or dust due to reflection scatter. That’s why Waymos stop working in any heavy precipitation. As I have said many times, there is a role for LiDAR in some circumstances and I personally oversaw the development of LiDAR for the SpaceX Dragon docking with Space Station. I am well aware of its strengths and weaknesses.”

Tesla’s approach is significantly different than most companies. Waymo, Motional, Aurora, and Zoox all use LiDAR for their self-driving programs, while Tesla continues to rely on its camera-only approach.

Musk even said that Model S and Model X utilized a Tesla-developed high-resolution radar, but it could not “compare to passive optical (cameras), so we turned it off.”

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