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

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7 years ago

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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 creates clever solution to simplify and improve its Service

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

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3 hours ago

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August 7, 2025

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tesla service
Credit: Tesla

Tesla has created a clever solution to simplify and improve its Service. Tesla performs most of the services that are needed on its vehicles at its company-owned Service Centers.

However, service has been a weak point of the company, as some regions have fewer Service Centers than others. This can cause long wait times for Tesla owners in some parts of the country.

There are also instances where customers do not agree with what Tesla is saying about their vehicle. In fact, one instance that revealed this new change Tesla is making to its Service was precisely that.

One owner posted on X that his vehicle’s battery seal had failed after a recall was issued. Tesla insurance and Tesla Service both did not assist, and it took CEO Elon Musk stepping in to get the issue resolved:

Another owner suggested there should be a more streamlined communications process between the customer and the Service Center, a solution that has been missing.

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

Elon Musk wants Tesla Service to fix two-thirds of cars in the same day

Jegannathan said that Tesla has started to share local and regional leader contact information so customers have the ability to reach out when they have complaints or disagree with warranty claims, changes in estimates, or initial diagnostics.

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It is available in a handful of locations already, and Jegannathan said that once abuse guardrails are built, this will expand to all locations:

This would be a major improvement in the Service portion of Tesla’s business. There are common disagreements between Service and customers, specifically when Service’s suggestions don’t align with the customer’s beliefs.

When it comes to things like a warranty claim, these issues are not really up for interpretation. Instead, the repairs should be made. If there is a misunderstanding on Service’s side, a simple message from the customer could have resolved the issue. That’s basically what happened here.

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Investor's Corner

Tesla gets its best analysis from Morgan Stanley as ‘it’s all about to change’

He maintained its ‘Overweight’ rating and the $410 price target Morgan Stanley had on the stock.

Published

4 hours ago

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August 7, 2025

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(Credit: Tesla)

Tesla has gotten perhaps its best analysis from Morgan Stanley in quite some time, as the Wall Street firm claims that “it’s all about to change.”

That phrase could be used for both the company’s status and the world in general.

Analyst Adam Jonas said in a new note on Thursday to investors that Tesla could be one of the major winners in terms of the global transition from what it is now to what it will be.

He describes the global shift that will occur over the next few years:

“Have you interacted with a robot today? Have you even seen a robot today? No? Well, take a mental picture because it’s all about to change. When we meet someone who has never been in a Waymo or a Tesla Cybercab (which is most people), we frequently see a wince and a response such as ‘I’m not sure I’d feel comfortable getting in a car without a driver.’ We imagine going back in time to 1903 and asking people if they’d feel comfortable in an airplane.’”

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The same technological revolutions that have occurred over the past 150 years will continue to occur again and again. We are on the verge of another, Jonas believes, as companies like Tesla are working on artificial intelligence tech, which includes changing the way we look at things like transportation and labor.

Jonas includes an interesting tidbit in his note about how humanoid robots could change wages, and how it could work into the advantage of Tesla, especially as it is developing its own Optimus robot:

“We estimate 1 humanoid robot at $5/hour can do the work of 2 humans at $25/hour, generating an NPV of approximately $200k/humanoid. 1 robot shaped car can potentially drive down cost/mile of a ride share vehicle to <$0.20 mile (1/10th human-driven ride-share).”

Jonas sees Tesla as a key player in how AI will impact things like manufacturing and various automotive industries, and he believes there is long-term potential for AI, robomobility, and even autonomous eVTOL platforms.

Tesla stock: Morgan Stanley says eVTOL is calling Elon Musk for new chapter

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He maintained its ‘Overweight’ rating and the $410 price target Morgan Stanley had on the stock.

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Tesla expands Robotaxi program in Austin to new riders

Tesla has been expanding both the rider group and the geofence in Austin slowly, making sure to prioritize safety and avoid any major events with the early rollout.

Published

5 hours ago

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August 7, 2025

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Credit: @TerrapinTerpene/X

Tesla is expanding its Robotaxi program in Austin, Texas, as several people have received invitations to participate and take rides.

Tesla first launched the Robotaxi platform on June 22. It invited a handful of people to participate in the first-ever public rides. We were lucky enough to get an invitation, and our permissions have been expanded in the Bay Area pilot program as well.

The group was small and consisted of big names in the Tesla community. It expanded and is continuing to offer these exclusive invitations to notable members of the Tesla community.

There have been fewer than five subsequent invitations after the first group’s were sent in late June:

Tesla has been expanding both the rider group and the geofence in Austin slowly, making sure to prioritize safety and avoid any major events with the early rollout.

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Tesla’s new Robotaxi geofence shape is an FU by Elon Musk to the competition

“We are being very cautious. We do not want to take any chances, so we are going to go cautiously. But the service areas and the number of vehicles in operation will increase at a hyper-exponential rate,” CEO Elon Musk said during the Q2 Earnings Call.

Eventually, the Robotaxi platform will not require an invite, and it will operate without geofences. Musk believes Tesla can get there within three or six months, and plans to have at least half of the U.S. population with access to a Robotaxi by the end of the year:

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“I think we will probably have autonomous ride-hailing in probably half the population of the U.S. by the end of the year. That’s at least our goal, subject to regulatory approvals. I think we will technically be able to do it. Assuming we have regulatory approvals, it’s probably addressing half the population of the U.S. by the end of the year.”

Tesla plans to have regulatory approval in Nevada, Arizona, and Florida sooner than in other states.

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