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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.
Tesla stock (NASDAQ: TSLA) closed at an all-time high on Tuesday, jumping over 3 percent during the day and finishing at $489.88.
The price beats the previous record close, which was $479.86.
Shares have had a crazy year, dipping more than 40 percent from the start of the year. The stock then started to recover once again around late April, when its price started to climb back up from the low $200 level.
This week, Tesla started to climb toward its highest levels ever, as it was revealed on Sunday that the company was testing driverless Robotaxis in Austin. The spike in value pushed the company’s valuation to $1.63 trillion.
Tesla Robotaxi goes driverless as Musk confirms Safety Monitor removal testing
It is the seventh-most valuable company on the market currently, trailing Nvidia, Apple, Alphabet (Google), Microsoft, Amazon, and Meta.
Shares closed up $14.57 today, up over 3 percent.
The stock has gone through a lot this year, as previously mentioned. Shares tumbled in Q1 due to CEO Elon Musk’s involvement with the Department of Government Efficiency (DOGE), which pulled his attention away from his companies and left a major overhang on their valuations.
However, things started to rebound halfway through the year, and as the government started to phase out the $7,500 tax credit, demand spiked as consumers tried to take advantage of it.
Q3 deliveries were the highest in company history, and Tesla responded to the loss of the tax credit with the launch of the Model 3 and Model Y Standard.
Additionally, analysts have announced high expectations this week for the company on Wall Street as Robotaxi continues to be the focus. With autonomy within Tesla’s sights, things are moving in the direction of Robotaxi being a major catalyst for growth on the Street in the coming year.
Elon Musk
Tesla needs to come through on this one Robotaxi metric, analyst says
“We think the key focus from here will be how fast Tesla can scale driverless operations (including if Tesla’s approach to software/hardware allows it to scale significantly faster than competitors, as the company has argued), and on profitability.”
Tesla needs to come through on this one Robotaxi metric, Mark Delaney of Goldman Sachs says.
Tesla is in the process of rolling out its Robotaxi platform to areas outside of Austin and the California Bay Area. It has plans to launch in five additional cities, including Houston, Dallas, Miami, Las Vegas, and Phoenix.
However, the company’s expansion is not what the focus needs to be, according to Delaney. It’s the speed of deployment.
The analyst said:
“We think the key focus from here will be how fast Tesla can scale driverless operations (including if Tesla’s approach to software/hardware allows it to scale significantly faster than competitors, as the company has argued), and on profitability.”
Profitability will come as the Robotaxi fleet expands. Making that money will be dependent on when Tesla can initiate rides in more areas, giving more customers access to the program.
There are some additional things that the company needs to make happen ahead of the major Robotaxi expansion, one of those things is launching driverless rides in Austin, the first city in which it launched the program.
This week, Tesla started testing driverless Robotaxi rides in Austin, as two different Model Y units were spotted with no occupants, a huge step in the company’s plans for the ride-sharing platform.
Tesla Robotaxi goes driverless as Musk confirms Safety Monitor removal testing
CEO Elon Musk has been hoping to remove Safety Monitors from Robotaxis in Austin for several months, first mentioning the plan to have them out by the end of 2025 in September. He confirmed on Sunday that Tesla had officially removed vehicle occupants and started testing truly unsupervised rides.
Although Safety Monitors in Austin have been sitting in the passenger’s seat, they have still had the ability to override things in case of an emergency. After all, the ultimate goal was safety and avoiding any accidents or injuries.
Goldman Sachs reiterated its ‘Neutral’ rating and its $400 price target. Delaney said, “Tesla is making progress with its autonomous technology,” and recent developments make it evident that this is true.
Investor's Corner
Tesla gets bold Robotaxi prediction from Wall Street firm
Last week, Andrew Percoco took over Tesla analysis for Morgan Stanley from Adam Jonas, who covered the stock for years. Percoco seems to be less optimistic and bullish on Tesla shares, while still being fair and balanced in his analysis.
Tesla (NASDAQ: TSLA) received a bold Robotaxi prediction from Morgan Stanley, which anticipates a dramatic increase in the size of the company’s autonomous ride-hailing suite in the coming years.
Last week, Andrew Percoco took over Tesla analysis for Morgan Stanley from Adam Jonas, who covered the stock for years. Percoco seems to be less optimistic and bullish on Tesla shares, while still being fair and balanced in his analysis.
Percoco dug into the Robotaxi fleet and its expansion in the coming years in his latest note, released on Tuesday. The firm expects Tesla to increase the Robotaxi fleet size to 1,000 vehicles in 2026. However, that’s small-scale compared to what they expect from Tesla in a decade.
Tesla expands Robotaxi app access once again, this time on a global scale
By 2035, Morgan Stanley believes there will be one million Robotaxis on the road across multiple cities, a major jump and a considerable fleet size. We assume this means the fleet of vehicles Tesla will operate internally, and not including passenger-owned vehicles that could be added through software updates.
He also listed three specific catalysts that investors should pay attention to, as these will represent the company being on track to achieve its Robotaxi dreams:
- Opening Robotaxi to the public without a Safety Monitor. Timing is unclear, but it appears that Tesla is getting closer by the day.
- Improvement in safety metrics without the Safety Monitor. Tesla’s ability to improve its safety metrics as it scales miles driven without the Safety Monitor is imperative as it looks to scale in new states and cities in 2026.
- Cybercab start of production, targeted for April 2026. Tesla’s Cybercab is a purpose-built vehicle (no steering wheel or pedals, only two seats) that is expected to be produced through its state-of-the-art unboxed manufacturing process, offering further cost reductions and thus accelerating adoption over time.
Robotaxi stands to be one of Tesla’s most significant revenue contributors, especially as the company plans to continue expanding its ride-hailing service across the world in the coming years.
Its current deployment strategy is controlled and conservative to avoid any drastic and potentially program-ruining incidents.
So far, the program, which is active in Austin and the California Bay Area, has been widely successful.
Tesla stock closes at all-time high on heels of Robotaxi progress
Tesla needs to come through on this one Robotaxi metric, analyst says
