As a company with a global presence to the tune of at least a billion people, Google is taking both its immense tech capabilities and social responsibility role very seriously. Namely, it has pledged to provide tangible support to organizations wanting to help address societal challenges using artificial intelligence through its just announced “AI Impact Challenge”. Whether an idea needs coaching, grant funding from a pool of $25 million available, or credit and consulting from cloud services, Google will be there to help.
Towards this effort, the company has already provided an educational guide to machine learning, the primary tool it wants organizations to utilize in its problem-solving. It might seem counterintuitive for a proposer to need training on the very thing it’s proposing, but this is part of the point of Google’s support. To quote Google’s project page directly, “We want people from as many backgrounds as possible to surface problems that AI can help solve, and to be empowered to create solutions themselves…We don’t expect applicants to be AI experts.” Submissions are open until January 22, 2019, and winners will be announced in spring 2019.
Need inspiration for an idea? Or, perhaps, some examples of the kinds of problems that artificial intelligence can help solve? Google’s page dedicated to its “AI for social good” mission has featured projects that are already working towards societally beneficial goals. Here’s a breakdown of some of them:
- The “Smart Wildfire Sensor” is a device that identifies and predicts areas in a forest that are susceptible to wildfires. To do this, it uses data from tools measuring wind speed, wind direction, humidity, and temperature combined with Google’s open source machine learning tool TensorFlow for photographic analysis of biomass (accumulated fallen branches and trees).
- Protecting whales from preventable accidents such as entanglement in fishing gear and collisions with vessels is a challenge being addressed using whale songs and machine learning to locate where they’re singing from. The National Oceanic and Atmospheric Administration (NOAA) uses underwater audio recordings to identify and mitigate the presence of dangers in the estimated areas where whales are present. The thousands of hours of recordings accumulated presented a data challenge well suited to Google’s existing sound classification AI to help meet NOAA’s needs with conservation efforts.
- As a top cause of infant mortality in the world, birth asphyxia is a serious threat needing all the tools available to new parents. Using machine learning trained to recognize the cries of a newborn with this condition, the company Ubenwa has developed a mobile app enabling a recording of a baby’s cry to be uploaded and diagnosed.
“With great power comes great responsibility” is a familiar motto that applies to the state of modern tech just as much as superheroes. For example, the fast-paced field of artificial intelligence brings frequent developments that challenge our security as a society, thus needing caution. However, the massive companies driving the primary innovations being used among the public on a grand scale are one of the larger demonstrations of this where this motto really applies in today’s world.
Google sharply felt the weight of its responsibility recently when its role in assisting the US Department of Defense to analyze drone footage (Project Maven) was revealed. The “Don’t be evil” part of the company’s Code of Conduct at the time appeared to be violated through the military assistance, and renewal of the contract has since been canceled. Google’s further work on its Chinese search engine with censorship in accordance with the communist government’s requirements has also drawn protest from both inside and outside the company. Given this background, a new project focused on doing “good” things for the benefit of society might be seen as possible damage control. The timing might be suspect, but it’s worth noting that, as seen in the projects described above, Google has been working to help with societal needs for quite some time already.
Overall, headlines in recent years have demonstrated just how flexible AI can be when it comes to solving challenges that face our world. While the fears brought on by future “intelligent” computers may have a foundation in reality, it may do us a great amount of good to turn our focus on the hope such technology can also bring. Whatever Google’s motivation is for launching its “AI for social good project”, if good is achieved, it may just be a win for us all.
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Tesla wins another award critics will absolutely despise
Tesla earned an overall score of 49 percent, up 6 percentage points from the previous year, widening its lead over second-place Ford (45 percent, up 2 points) to a commanding 4-percentage-point gap. The company also excelled in the Fossil Free & Environment category with a 50 percent score, reflecting strong progress in reducing emissions and decarbonizing operations.
Tesla just won another award that critics will absolutely despise, as it has been recognized once again as the company with the most sustainable supply chain.
Tesla has once again proven its critics wrong, securing the number one spot on the 2026 Lead the Charge Auto Supply Chain Leaderboard for the second consecutive year, Lead the Charge rankings show.
NEWS: Tesla ranked 1st on supply chain sustainability in the 2026 Lead the Charge auto/EV supply chain scorecard.
“@Tesla remains the top performing automaker of the Leaderboard for the second year running, and increased its overall score by 6 percentage points, while Ford only… pic.twitter.com/nAgGOIrGFS
— Sawyer Merritt (@SawyerMerritt) March 4, 2026
This independent ranking, produced by a coalition of environmental, human rights, and investor groups including the Sierra Club, Transport & Environment, and others, evaluates 18 major automakers on their efforts to build equitable, sustainable, and fossil-free supply chains for electric vehicles.
Tesla earned an overall score of 49 percent, up 6 percentage points from the previous year, widening its lead over second-place Ford (45 percent, up 2 points) to a commanding 4-percentage-point gap. The company also excelled in the Fossil Free & Environment category with a 50 percent score, reflecting strong progress in reducing emissions and decarbonizing operations.
Perhaps the most impressive achievement came in the batteries subsection, where Tesla posted a massive +20-point jump to reach 51 percent, becoming the first automaker ever to surpass 50 percent in this critical area.
Tesla achieved this milestone through transparency, fully disclosing Scope 3 emissions breakdowns for battery cell production and key materials like lithium, nickel, cobalt, and graphite.
The company also requires suppliers to conduct due diligence aligned with OECD guidelines on responsible sourcing, which it has mentioned in past Impact Reports.
While Tesla leads comfortably in climate and environmental performance, it scores 48 percent in human rights and responsible sourcing, slightly behind Ford’s 49 percent.
The company made notable gains in workers’ rights remedies, but has room to improve on issues like Indigenous Peoples’ rights.
Overall, the leaderboard highlights that a core group of leaders, Tesla, Ford, Volvo, Mercedes, and Volkswagen, are advancing twice as fast as their peers, proving that cleaner, more ethical EV supply chains are not just possible but already underway.
For Tesla detractors who claim EVs aren’t truly green or that the company cuts corners, this recognition from sustainability-focused NGOs delivers a powerful rebuttal.
Tesla’s vertical integration, direct supplier contracts, low-carbon material agreements (like its North American aluminum deal with emissions under 2kg CO₂e per kg), and raw materials reporting continue to set the industry standard.
As the world races toward electrification, Tesla isn’t just building cars; it’s building a more responsible future.
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Tesla Full Self-Driving likely to expand to yet another Asian country
“We are aiming for implementation in 2026. [We are] doing everything in our power [to achieve this],” Richi Hashimoto, president of Tesla’s Japanese subsidiary, said.
Tesla Full Self-Driving is likely to expand to yet another Asian country, as one country seems primed for the suite to head to it for the first time.
The launch of Full Self-Driving in yet another country this year would be a major breakthrough for Tesla as it continues to expand the driver-assistance program across the world. Bureaucratic red tape has held up a lot of its efforts, but things are looking up in some regions.
Tesla is poised to transform Japan’s roads with Full Self-Driving (FSD) technology by 2026.
Richi Hashimoto, president of Tesla’s Japanese subsidiary, announced the ambitious timeline, building on successful employee test drives that began in 2025 and earned positive media reviews. Test drives, initially limited to the Model 3 since August 2025, expanded to the Model Y on March 5.
Once regulators approve, Over-the-Air (OTA) software updates could activate FSD across roughly 40,000 Teslas already on Japanese roads. Japan’s orderly traffic and strict safety culture make it an ideal testing ground for autonomous driving.
Hashimoto said:
“We are aiming for implementation in 2026. [We are] doing everything in our power [to achieve this].”
The push aligns with Hashimoto’s leadership, which has been credited for Tesla’s sales turnaround.
In 2025, Tesla delivered a record 10,600 vehicles in Japan — a nearly 90% jump from the prior year and the first time exceeding 10,000 units annually.
BREAKING 🇯🇵 FSD IS LIKELY LAUNCHING IN JAPAN IN 2026 🚨
Richi Hashimoto, President of Tesla’s Japanese subsidiary, stated: “We are aiming for implementation in 2026” and added that they are “doing everything in our power” to achieve this 🔥
Test drives in Japan began in August… pic.twitter.com/jkkrJLszXN
— Ming (@tslaming) March 5, 2026
The strategy shifted from online-only sales to adding 29 physical showrooms in high-traffic malls, plus staff training and attractive financing offers launched in January 2026. Tesla also plans to expand its Supercharger network to over 1,000 points by 2027, boosting accessibility.
This Japanese momentum reflects Tesla’s broader international expansion. In Europe, Giga Berlin produced more than 200,000 vehicles in 2025 despite a temporary halt, supplying over 30 markets with plans for sequential production growth in 2026 and battery cell manufacturing by 2027.
While regional EV sales faced headwinds, the factory remains a cornerstone for Model Y deliveries across the continent.
In Asia, Giga Shanghai continues to be recognized as Tesla’s powerhouse. China, the company’s largest market, saw January 2026 deliveries from the plant rise 9 percent year-over-year to 69,129 units, with affordable new models expected later this year.
FSD advancements, already progressing in the U.S. and South Korea, are slated for Europe and further Asian rollout, complementing plans to expand Cybercab and Optimus to new markets as well.
With OTA-enabled autonomy on the horizon and retail strategies paying dividends, Tesla is strengthening its footprint from Tokyo showrooms to Berlin assembly lines and Shanghai exports. As Hashimoto continues to push Tesla forward in Japan, the company’s global vision for sustainable, self-driving mobility gains traction across Europe and Asia.
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Tesla ships out update that brings massive change to two big features
“This change only updates the name of certain features and text in your vehicle,” the company wrote in Release Notes for the update, “and does not change the way your features behave.”
Tesla has shipped out an update for its vehicles that was caused specifically by a California lawsuit that threatened the company’s ability to sell cars because of how it named its driver assistance suite.
Tesla shipped out Software Update 2026.2.9 starting last week; we received it already, and it only brings a few minor changes, mostly related to how things are referenced.
“This change only updates the name of certain features and text in your vehicle,” the company wrote in Release Notes for the update, “and does not change the way your features behave.”
The following changes came to Tesla vehicles in the update:
- Navigate on Autopilot has now been renamed to Navigate on Autosteer
- FSD Computer has been renamed to AI Computer
Tesla faced a 30-day sales suspension in California after the state’s Department of Motor Vehicles stated the company had to come into compliance regarding the marketing of its automated driving features.
The agency confirmed on February 18 that it had taken a “corrective action” to resolve the issue. That corrective action was renaming certain parts of its ADAS.
Tesla discontinued its standalone Autopilot offering in January and ramped up the marketing of Full Self-Driving Supervised. Tesla had said on X that the issue with naming “was a ‘consumer protection’ order about the use of the term ‘Autopilot’ in a case where not one single customer came forward to say there’s a problem.”
This was a “consumer protection” order about the use of the term “Autopilot” in a case where not one single customer came forward to say there’s a problem.
Sales in California will continue uninterrupted.
— Tesla North America (@tesla_na) December 17, 2025
It is now compliant with the wishes of the California DMV, and we’re all dealing with it now.
This was the first primary dispute over the terminology of Full Self-Driving, but it has undergone some scrutiny at the federal level, as some government officials have claimed the suite has “deceptive” names. Previous Transportation Secretary Pete Buttigieg was one of those federal-level employees who had an issue with the names “Autopilot” and “Full Self-Driving.”
Tesla sued the California DMV over the ruling last week.