As millions of young people worldwide increasingly rely on AI chatbots to acquire knowledge as part of their learning — and even complete assignments for them — one organization is concerned that those in developing countries without access to the tech could be put at an unfair disadvantage.

And it’s using the very technology it believes is causing this problem to fix it.

Education Above All, a nonprofit based in Qatar, believes that because most of the world’s popular AI chatbots are created in Silicon Valley, they aren’t equipped to understand the linguistic and ethnic nuances of non-English-speaking countries, creating education inequities on a global scale. But its team sees AI as a way to tackle this problem.

In January 2025, the charity teamed up with MIT, Harvard, and the United Nations Development Programme to introduce a free and open-source AI literacy program called Digi-Wise. Delivered in partnership with educators in the developing world, it encourages children to spot AI-fueled misinformation, use AI tools responsibly in the classroom, and even develop their own AI tools from scratch.

As part of this, the charity has developed its own generative AI chatbot called Ferby. It allows users to access and personalize educational resources from the Internet-Free Education Resource Bank, an online library containing hundreds of free and open-source learning materials.

Education Above All said it’s already being used by over 5 million Indian children to access “project-based learning” in partnership with Indian nonprofit Mantra4Change. More recently, Education Above All has embedded Ferby into edtech platform SwiftChat, which is used by 124 million students and teachers across India.

“Ferby curates, customizes, and creates learning materials to fit local realities, so a teacher in rural Malawi can run the right science experiment as easily as a teacher in downtown Doha,” said Aishwarya Shetty, an education specialist at Education Above All. “By marrying offline ingenuity with AI convenience, we make learning local, low-resource, and always within reach, yet at scale.”

Education Above All is among a group of organizations using AI to tackle global inequality and work toward realizing the United Nations Sustainable Development Goals. Created in 2015, the UN SDGs comprise 17 social, economic, and environmental targets that serve as guidelines for nations, businesses, and individuals to follow to help achieve a more peaceful and prosperous world. Education Above All’s projects fall under SDG 4: inclusive and equitable education.

A global effort

A range of other organizations are using AI to augment and enhance their education programming.

Tech To The Rescue, a global nonprofit that connects charities with pro-bono software development teams to meet their goals, is another organization using AI in support of the UN SDGs. Last year, it launched a three-year AI-for-good accelerator program to help NGOs meet the various UN SDGs using AI.

One organization to benefit from the program is Mercy Corps, a humanitarian group that works across over 40 countries to tackle crises like poverty, the climate crisis, natural disasters, and violence. Through the accelerator, it created an AI strategy tool that helps first responders predict disasters and coordinate resources. The World Institute on Disability AI also participated in the accelerator program, creating a resource-matching system that helps organizations allocate support to people with disabilities in hours rather than weeks.

Similarly, the International Telecommunication Union — the United Nations’ digital technology agency, and one of its oldest arms — is supporting organizations using technology to achieve the UN SDGs through its AI for Good Innovation Factory startup competition. For example, an Indian applicant — a startup called Bioniks — has enabled a teenager to reclaim the ability to do simple tasks like writing and getting dressed through the use of AI-powered prosthetics.

Challenges to consider

While AI may prove to be a powerful tool for achieving the UN SDGs, it comes with notable risks. Again, as AI models are largely developed by American tech giants in an industry already constrained by gender and racial inequality, unconscious bias is a major flaw of AI systems.

To address this, Shetty said layered prompts for non-English users, human review of underlying AI datasets, and the creation of indigenous chatbots are paramount to achieving Education Above All’s goals.

AI models are also power-intensive, making them largely inaccessible to the populations of developing countries. That’s why Shetty urges AI companies to provide their solutions via less tech-heavy methods, like SMS, and to offer offline features so users can still access AI resources when their internet connections drop. Open-source, free-of-charge subscriptions can help, too, she added.

AI as a source for good

Challenges aside, Shetty is confident that AI can be a force for good over the next few years, particularly around education. She told BI, “We are truly energized by how the global education community is leveraging AI in education: WhatsApp-based math tutors reaching off-grid learners; algorithms that optimize teacher deployment in shortage areas; personalized content engines that democratize education; chatbots that offer psychosocial support in crisis zones and more.”

But Shetty is clear that AI should augment, rather than displace, human educators. And she said the technology should only be used if it can solve challenges faced by humans and add genuine value.

“Simply put,” she said, “let machines handle the scale, let humans handle the soul, with or without AI tools.”

LONDON – The European Union on Thursday released a code of practice on general purpose artificial intelligence to help thousands of businesses in the 27-nation bloc using the technology comply with the bloc’s landmark AI rule book.

The EU code is voluntary and complements the EU’s AI Act, a comprehensive set of regulations that was approved last year and is taking effect in phases.

The code focuses on three areas: transparency requirements for providers of AI models that are looking to integrate them into their products; copyright protections; and safety and security of the most advanced AI systems

The AI Act’s rules on general purpose artificial intelligence are set to take force on Aug. 2. The bloc’s AI Office, under its executive Commission, won’t start enforcing them for at least a year.

General purpose AI, exemplified by chatbots like OpenAI’s ChatGPT, can do many different tasks and underpin many of the AI systems that companies are using across the EU.

Under the AI Act, uses of artificial intelligence face different levels of scrutiny depending on the level of risk they pose, with some uses deemed unacceptable banned entirely. Violations could draw fines of up to 35 million euros ($41 million), or 7% of a company’s global revenue.

Some Big Tech companies such as Meta have resisted the regulations, saying they’re unworkable, and U.S. Vice President JD Vance, speaking at a Paris summit in February, criticized “excessive regulation” of AI, warning it could kill “a transformative industry just as it’s taking off.”

More recently, more than 40 European companies, including Airbus, Mercedes-Benz, Philips and French AI startup Mistral, urged the bloc in an open letter to postpone the regulations for two years. They say more time is needed to simplify “unclear, overlapping and increasingly complex EU regulations” that put the continent’s competitiveness in the global AI race at risk.

There was no sign that Brussels was prepared to stop the clock.

“Today’s publication of the final version of the Code of Practice for general-purpose AI marks an important step in making the most advanced AI models available in Europe not only innovative but also safe and transparent,” the commission’s executive vice president for tech sovereignty, security and democracy, Henna Virkkunen, said in a news release.

Google on Thursday announced the second cohort to take part in its AI Academy American Infrastructure Academy, which seeks to support companies using AI to address issues such as cybersecurity, education, and transportation. 

The four-month program is designed for companies at a seed to Series A stage and provides equity-free support and resources like leadership coaching and sales training. It’s primarily virtual, but founders will convene for an in-person summit eventually at Google. Applications opened in late April of this year and closed mid-May; companies selected had to pass a competitive criteria, including having at least six months of runway and having proof of traction. 

Google has a pretty good track record so far of identifying notable AI startups. Alumni from Google’s American Infrastructure first cohort last year include the government contractor company Cloverleaf AI, which went on to raise a $2.8 million seed round, and Zordi, an autonomous agtech that had already raised $20 million from Khlosa Ventures. 

And it partners with some of the most significant AI companies that use its cloud.

Here were the companies selected for this latest batch: 

• Attuned Intelligence — AI-powered voice agents for call centers. 
• Block Harbor — cybersecurity for vehicle systems. 
• CircNova — uses AI to analyze RNA for therapeutics. 
• CloudRig — provides AI technology to help contractors manage schedules, production, and work plans.  
• Making Space — connects employers with disabled talent and prospective employees. 
• MedHaul — connects healthcare organizations, like hospitals and clinics, to non-emergency medical transportation to book rides for patients with mobility needs. 
• Mpathic — automates clinical workflows and provides AI oversight to clinical trials. 
• Nimblemind.ai — helps organize health data. 
• Omnia Fishing — offers personalized fishing suggestions, such as where to fish and what to bring along with you. 
• Otrafy — automates the process of supply management. 
• Partsimony — helps companies build and manage supply chains. 
• Satlyt — a computing platform to process satellite data. 
• StudyFetch — offers personalized learning experiences for students, educators, and institutions. 
• Tansy AI — lets users manage their health, such as tracking appointments and records. 
• Tradeverifyd — helps businesses track global supply chain risk. 
• Vetr Health — offers at-home veterinary care. 
• Waterplan — lets businesses track water risk. 

This is just one of a number of programs where Google invests in AI startups and research. TechCrunch reported a few months ago that it launched its inaugural AI Futures Fund initiative to back startups building with the latest AI tools from DeepMind. 

Last year, Google’s charitable wing announced a $20 million commitment to researchers and scientists in AI and an AI accelerator program to give $20 million to nonprofits developing AI technology. Sundar Pichai also said the company would create a $120 million Global AI Opportunity Fund to help make AI education more accessible to people throughout the world. 

Aside from this, Google has a few notable other Academies seeking to help founders, including its Founders Academy and Growth Academy. A Google spokesperson told us earlier this year that its Google for Startups Founders Fund would also look to start backing AI-focused startups as of this year.