Marco Brunasso
La dipendenza dai modelli di intelligenza artificiale statunitensi sta diventando un problema per molti paesi. Governi e aziende, soprattutto in Europa, stanno cercando di sviluppare AI alternative, per garantire maggiore autonomia tecnologica e una gestione più attenta delle specificità linguistiche e culturali. L’Europa cerca alternative ai modelli AI americani
L’Europa sta accelerando i progetti per ridurre la dipendenza dalle tecnologie statunitensi. Il concetto di “AI sovrana” sta guadagnando consensi, come dimostrato dal recente Paris AI Summit. In quell’occasione, diversi paesi hanno presentato iniziative per sviluppare infrastrutture tecnologiche indipendenti. La Commissione Europea, a novembre, ha nominato il primo commissario per la sovranità tecnologica, la sicurezza e la democrazia, con l’obiettivo di creare un “Euro Stack”, un’infrastruttura digitale pubblica che comprenda software, cloud, chip e AI. Questo modello si ispira in parte a India Stack, il sistema digitale indiano basato sull’identità biometrica Aadhaar. I governi europei stanno anche prendendo misure concrete per limitare l’influenza delle big tech americane. Nei Paesi Bassi, il Parlamento ha recentemente approvato leggi per ridurre la dipendenza dalle piattaforme statunitensi. Un segnale chiaro che l’Europa vuole costruire un futuro digitale più autonomo. Sebbene l’idea di una AI sovrana offra molte opportunità, pone anche interrogativi. Aliya Bhatia, ricercatrice presso il Center for Democracy & Technology, avverte che la selezione dei dataset di addestramento può influenzare profondamente la visione del mondo di un modello. La decisione su quali lingue e culture rappresentare potrebbe diventare una questione politica. I governi potrebbero orientare lo sviluppo di questi modelli per favorire certe prospettive a discapito di altre. Questo apre un dibattito su come bilanciare la sovranità digitale con il rispetto della diversità linguistica e culturale. Il rischio è che ogni paese sviluppi modelli che riflettano solo la propria visione del mondo, anziché creare un ecosistema realmente inclusivo. Gli evidenti limiti dei modelli AI anglofoni
Come ben sappiamo, le controverse politiche della seconda amministrazione Trump stanno incidendo profondamente sulle aziende tecnologiche americane (o meglio, sul loro impegno nei mercati internazionali). In molte aree del mondo, le piattaforme digitali statunitensi stanno riducendo gli investimenti in moderazione dei contenuti e supporto alle comunità locali. Secondo Yasmin Curzi, professoressa brasiliana esperta di politiche tecnologiche, queste aziende “non garantiscono più nemmeno il minimo indispensabile”. Le conseguenze sono evidenti soprattutto nella moderazione dei contenuti sui social. I sistemi basati sull’intelligenza artificiale faticano a rilevare e contrastare contenuti violenti, in particolare quando si tratta di lingue meno rappresentate nei dataset di addestramento. Marlena Wisniak, avvocata esperta di governance dell’AI, sottolinea come i modelli linguistici di grandi dimensioni (LLM) spesso falliscano nel riconoscere e gestire correttamente discorsi d’odio e linguaggi discriminatori in paesi come India, Sudafrica e Brasile. L’uso di questi strumenti genera un effetto circolare: modelli scarsamente moderati vengono utilizzati per moderare altri contenuti, amplificando gli errori anziché correggerli. Uno dei problemi principali dei modelli di intelligenza artificiale americani riguarda la scarsa efficacia con le lingue non occidentali. Anche i modelli dichiaratamente multilingue mostrano forti limiti. Studi recenti dimostrano che strumenti come ChatGPT forniscono risposte meno accurate in cinese e hindi rispetto a lingue più presenti nei dataset nordamericani, come inglese e spagnolo. Queste lacune favoriscono lo sviluppo di modelli di AI più adatti a specifiche comunità linguistiche e culturali. Start-up come Shhor AI , che sta lavorando su un’API di moderazione per le lingue vernacolari indiane, rappresentano una possibile alternativa. Anche in Africa stanno emergendo progetti simili: la startup Lelapa AI sta sviluppando modelli linguistici per le lingue locali, mentre Mozilla ha avviato un’iniziativa per raccogliere dati di addestramento in lingue diverse dall’inglese. Un futuro ancora incerto per l’AI in Europa
L’accelerazione verso l’indipendenza tecnologica segna una svolta nel panorama globale dell’AI, soprattutto in Europa. La sfida alla supremazia americana è già in atto e coinvolge, oltre ai paesi europei, anche l’India, la Cina e altre nazioni emergenti. Tuttavia, non è ancora chiaro quanto queste iniziative riusciranno a ridurre l’influenza delle big tech americane. Quello che è certo è che il dibattito sull’AI sovrana non si fermerà qui. Nei prossimi anni, il modo in cui verranno sviluppati e regolamentati questi strumenti definirà non solo il mercato tecnologico, ma anche il rapporto tra democrazia, controllo dei dati e innovazione globale. ALEXA PUÒ MOSTRARTI MOLTE COSE: Echo Show 5 è dotato di uno schermo da 5,5", per controllare a colpo d’occhio il meteo e le ultime notizie, fare videochiamate, visualizzare le videocamere compatibili, ascoltare musica e programmi in streaming, e molto altro. PICCOLE DIMENSIONI, MIGLIORI PRESTAZIONI AUDIO: ascolta la tua musica o i tuoi podcast preferiti, guarda le serie TV che ami e molto altro su Amazon Music, Spotify, Prime Video o altri servizi, ora con bassi ancora più profondi e voci più nitide. Questo dispositivo è dotato di uno schermo da 5,5’’, per guardare a colpo d’occhio serie TV, titoli di canzoni e molto altro. LA TUA CASA GESTITA IN TUTTA COMODITÀ: controlla i dispositivi per Casa Intelligente, come lampadine e termostati, anche quando non sei in casa. VEDI ANCORA DI PIÙ CON LA VIDEOCAMERA INTEGRATA: controlla come sta la tua famiglia, i tuoi animali domestici e molto altro con la videocamera integrata. Effettua chiamate Drop In quando non sei a casa o monitora la porta d’ingresso dal tuo Echo Show 5, grazie ai videocitofoni compatibili. UTILIZZA LE TUE FOTO COME SFONDO: quando il dispositivo non è in uso, grazie ad Amazon Photos le tue foto possono scorrere sullo schermo del dispositivo. I membri Prime possono archiviare illimitate foto nel Cloud. 109,99 EUR
Scrivere è la mia passione, la musica è la mia vita e Liam Gallagher il mio Dio.Per il resto ho 30 anni e sono un musicista, cantante e autore. Qui scrivo principalmente di musica e videogame, ma mi affascina tutto ciò che ha a che fare con la creazione di mondi paralleli.🌋From Pompei with love.🧡

L’Europa accelera sull’AI sovrana per emanciparsi dai modelli americani

Content moderation systems are being abandoned and defunded, leaving many countries looking for alternatives. By
Sarah Rogers / MITTR | Photos Getty
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first,  sign up here . This week’s edition of The Algorithm is brought to you not by your usual host, James O’Donnell, but Eileen Guo, an investigative reporter at MIT Technology Review. A few weeks ago, when I was at the digital rights conference RightsCon in Taiwan, I watched in real time as civil society organizations from around the world, including the US, grappled with the loss of one of the biggest funders of global digital rights work: the United States government. As I wrote in my dispatch , the Trump administration's shocking, rapid gutting of the US government (and its push into what some prominent political scientists call “competitive authoritarianism”) also affects the operations and policies of American tech companies—many of which, of course, have users far beyond US borders. People at RightsCon said they were already seeing changes in these companies’ willingness to engage with and invest in communities that have smaller user bases—especially non-English-speaking ones. As a result, some policymakers and business leaders—in Europe, in particular—are reconsidering their reliance on US-based tech and asking whether they can quickly spin up better, homegrown alternatives. This is particularly true for AI. One of the clearest examples of this is in social media. Yasmin Curzi, a Brazilian law professor who researches domestic tech policy, put it to me this way: “Since Trump’s second administration, we cannot count on [American social media platforms] to do even the bare minimum anymore.”
Social media content moderation systems—which already use automation and are also experimenting with deploying large language models to flag problematic posts—are failing to detect gender-based violence in places as varied as India, South Africa, and Brazil. If platforms begin to rely even more on LLMs for content moderation, this problem will likely get worse, says Marlena Wisniak, a human rights lawyer who focuses on AI governance at the European Center for Not-for-Profit Law. “The LLMs are moderated poorly, and the poorly moderated LLMs are then also used to moderate other content,” she tells me. “It’s so circular, and the errors just keep repeating and amplifying.”
Part of the problem is that the systems are trained primarily on data from the English-speaking world (and American English at that), and as a result, they perform less well with local languages and context. Even multilingual language models, which are meant to process multiple languages at once, still perform poorly with non-Western languages. For instance, one evaluation of ChatGPT’s response to health-care queries found that results were far worse in Chinese and Hindi, which are less well represented in North American data sets, than in English and Spanish. For many at RightsCon, this validates their calls for more community-driven approaches to AI—both in and out of the social media context. These could include small language models, chatbots, and data sets designed for particular uses and specific to particular languages and cultural contexts. These systems could be trained to recognize slang usages and slurs, interpret words or phrases written in a mix of languages and even alphabets, and identify “reclaimed language” (onetime slurs that the targeted group has decided to embrace). All of these tend to be missed or miscategorized by language models and automated systems trained primarily on Anglo-American English. The founder of the startup Shhor AI , for example, hosted a panel at RightsCon and talked about its new content moderation API focused on Indian vernacular languages. Many similar solutions have been in development for years—and we’ve covered a number of them, including a Mozilla-facilitated volunteer-led effort to collect training data in languages other than English, and promising startups like Lelapa AI, which is building AI for African languages. Earlier this year, we even included small language models on our 2025 list of top 10 breakthrough technologies . Still, this moment feels a little different. The second Trump administration, which shapes the actions and policies of American tech companies, is obviously a major factor. But there are others at play. Related Story
The United States government has gone from taking the leading role in supporting an open and safe internet to demonstrating how to dismantle it. First, recent research and development on language models has reached the point where data set size is no longer a predictor of performance, meaning that more people can create them. In fact, “smaller language models might be worthy competitors of multilingual language models in specific, low-resource languages,” says Aliya Bhatia, a visiting fellow at the Center for Democracy & Technology who researches automated content moderation. Then there’s the global landscape. AI competition was a major theme of the recent Paris AI Summit, which took place the week before RightsCon. Since then, there’s been a steady stream of announcements about “sovereign AI” initiatives that aim to give a country (or organization) full control over all aspects of AI development. AI sovereignty is just one part of the desire for broader “tech sovereignty” that’s also been gaining steam, growing out of more sweeping concerns about the privacy and security of data transferred to the United States. The European Union appointed its first commissioner for tech sovereignty, security, and democracy last November and has been working on plans for a “Euro Stack,” or “digital public infrastructure.” The definition of this is still somewhat fluid, but it could include the energy, water, chips, cloud services, software, data, and AI needed to support modern society and future innovation. All these are largely provided by US tech companies today. Europe’s efforts are partly modeled after “India Stack,” that country’s digital infrastructure that includes the biometric identity system Aadhaar. Just last week, Dutch lawmakers passed several motions to untangle the country from US tech providers. This all fits in with what Andy Yen, CEO of the Switzerland-based digital privacy company Proton, told me at RightsCon. Trump, he said, is “causing Europe to move faster … to come to the realization that Europe needs to regain its tech sovereignty.” This is partly because of the leverage that the president has over tech CEOs, Yen said, and also simply “because tech is where the future economic growth of any country is.”
But just because governments get involved doesn’t mean that issues around inclusion in language models will go away. “I think there needs to be guardrails about what the role of the government here is. Where it gets tricky is if the government decides ‘These are the languages we want to advance’ or ‘These are the types of views we want represented in a data set,’” Bhatia says. “Fundamentally, the training data a model trains on is akin to the worldview it develops.”
It’s still too early to know what this will all look like, and how much of it will prove to be hype. But no matter what happens, this is a space we’ll be watching. Now read the rest of The Algorithm
Deeper Learning
OpenAI has released its first research into how using ChatGPT affects people’s emotional well-being
OpenAI released two pieces of research last week that explore how ChatGPT affects people who engage with it on emotional issues, yielding some interesting results. Female study participants were slightly less likely to socialize with people than their male counterparts who used the chatbot for the same period of time, our reporter Rhiannon Williams writes. And people who used voice mode in a gender that was not their own reported higher levels of loneliness at the end of the experiment. Why it matters: AI companies have raced to build chatbots that act not just as productivity tools but also as companions, romantic partners, friends, therapists, and more. Legally, it’s largely still a Wild West landscape. Some have instructed users to harm themselves , and others have offered sexually charged conversations as underage characters represented by deepfakes. More research into how people, especially children, are using these AI models is essential. OpenAI’s work is only a start. Read more from Rhiannon Williams . Bits and Bytes
Opinion – Why handing over total control to AI agents would be a huge mistake
Companies like OpenAI and Butterfly Effect (the startup in China that made Manus ) are racing to build AI agents that can do tasks for you by taking over your computer. In this op-ed, some top AI researchers detail the potential missteps that could occur if we cede more control of our digital lives to decision-making AIs. A provocative experiment pitted AI against federal judges
Research has long shown that judges are influenced by many factors, like how sympathetic they are to defendants, or when their last meal was. Despite AI models’ inherent problems with biases and hallucinations, researchers at the University of Chicago Law School wondered if they can present more objective opinions. They can, but that doesn’t make them better judges, the researchers say. ( The Washington Post )
Elon Musk’s “truth-seeking” chatbot often disagrees with him
Musk promised his company xAI’s model Grok would be an antidote to the “woke” and politically influenced chatbots that he says dominate today. But in tests done by the Washington Post, the model contradicted many of Musk’s claims about specific issues. ( The Washington Post )
A Disney employee downloaded an AI tool that contained malware, and it ruined his life
MIT Technology Review has long predicted that the proliferation of AI will enable scammers to up their productivity as never before. One victim of this trend is Matthew Van Andel, a Disney employee who downloaded malware disguised as an AI tool. It led to his firing. ( Wall Street Journal )
The facial recognition company Clearview attempted to buy Social Security numbers and mugshots for its database
Three years ago, Clearview was fined for scraping images of individuals’ faces from the internet. Now, court records reveal that the company was attempting to buy 690 million arrest records and 390 million arrest photos in the US—records that also contained Social Security numbers, emails, and physical addresses. The deal fell through, but Clearview nonetheless holds one of the largest databases of facial images, and its tools are used by police and federal agencies. ( 404 Media )
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Why the world is looking to ditch US AI models

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L'Afrique, berceau d'une nouvelle révolution technologique ? L'intelligence artificielle s'épanouit sur le continent, portée par des talents locaux et des projets innovants qui changent la donne. Imaginez un continent où l'intelligence artificielle ne se limite pas aux algorithmes des géants de la tech, mais où elle prend racine dans les besoins et les réalités locales. C'est l'histoire qui s'écrit en Afrique, une histoire faite de jeunes esprits brillants, de projets audacieux et d'une volonté farouche de façonner un avenir où la technologie rime avec développement humain. Des initiatives qui changent la donne
Loin des clichés, l'Afrique est un foyer d'innovation en matière d'IA. Des initiatives locales fleurissent, portées par des équipes passionnées et déterminées à résoudre les défis de leur quotidien. Masakhane : quand l'IA parle toutes les langues
Imaginez une IA qui comprend le wolof, le zoulou ou l'amharique. C'est le rêve de Masakhane, une communauté de chercheurs qui travaillent à combler le fossé linguistique dans le domaine de l'IA. « Nous voulons que l'IA soit accessible à tous les Africains, dans leur langue maternelle », explique Jade Abbott, une des figures de proue de cette initiative. AfriClimate AI : l'IA au service de l'agriculture
Face aux dérèglements climatiques, l'agriculture africaine a besoin d'outils performants. AfriClimate AI utilise l'IA pour fournir des prévisions météorologiques précises et aider les agriculteurs à adapter leurs pratiques. Un projet vital, quand on sait que l'agriculture représente une part importante de l'économie africaine. Deep Learning Indaba : un rendez-vous incontournable
Chaque année, le Deep Learning Indaba rassemble des centaines de chercheurs et d'étudiants de tout le continent. Un lieu d'échange et de partage, où se tissent les collaborations de demain. Des voix qui portent l'espoir
Karim Beguir : un visionnaire engagé
Auteur du livre « Le Saut décisif », Karim Beguir est un ardent défenseur du potentiel de l'IA africaine. « L'Afrique a l'opportunité de sauter des étapes et de devenir un leader mondial de l'IA. Mais cela passe par des investissements massifs dans la formation et la recherche », souligne-t-il. Pelonomi Moiloa : une pionnière de l'IA éthique
Cofondatrice de Lelapa AI, Pelonomi Moiloa place l'éthique au cœur de son travail. « Nous devons veiller à ce que l'IA que nous développons soit inclusive et respectueuse des valeurs africaines », insiste-t-elle. Des défis à surmonter, un avenir à construire
Bien sûr, le chemin est semé d'embûches. Le manque d'infrastructures, la pénurie de talents et les risques de biais sont autant de défis à relever. Mais l'énergie et la créativité des acteurs de l'IA africaine sont un gage d'espoir. Quelques données importantes :
Selon un rapport de la Banque Mondiale, l'économie numérique africaine pourrait représenter 180 milliards de dollars d'ici 2025. Le nombre de startups spécialisées dans l'IA en Afrique a été multiplié par quatre au cours des cinq dernières années. L'Afrique est en train d'écrire son propre chapitre de l'histoire de l'IA. Un chapitre où l'humain est au centre, où la technologie est au service du développement, et où l'innovation est synonyme d'espoir. Newsletter IA News

L'IA africaine : une révolution en marche, portée par des visages et des rêves

[Column] Yesh Surjoodeen: How AI is personalizing and transforming the employee experience
We are experiencing a profound technological revolution, with AI emerging as a transformative force. As AI continues to unlock new possibilities, consumers are optimistic about its potential to enhance work but are eager for real-world applications. Business leaders see AI as a way to redefine productivity and personalization, aiming to bridge the gap between business growth and employee satisfaction. HP’s Work Relationship Index, a global study, uncovered a pressing need to improve employee engagement. Only 28% of knowledge workers report a healthy relationship with work, and two-thirds desire more personalized experiences and access to preferred technologies. As AI becomes increasingly integrated into our lives, its influence on the future of work will grow, with significant changes expected by 2025. AI as a Personalized Experience
A personalized work experience empowers employees to engage in deep, meaningful work. At least two-thirds of knowledge workers want personalized work experiences, and 87% would give up part of their salary to obtain it. AI plays a critical role in this by helping employees streamline their workflows in ways that reflect their preferences. For example, AI tools like Microsoft Copilot allow companies to leverage an AI assistant in familiar environments, making communication and document customization more efficient. Real-time language translation opens new global markets and opportunities, enabling employees to communicate across linguistic barriers. In South Africa, innovations like Lelapa AI’s VulaVula are helping bridge communication gaps in multilingual workplaces. This AI-driven tool translates, transcribes, and analyzes languages such as English, Afrikaans, Zulu, and Sesotho, fostering collaboration across diverse teams. AI is a catalyst for productivity, inclusivity, and employee well-being. According to HP’s Work Relationship Index, 69% of knowledge workers and 77% of business leaders agree that AI-powered personalized experiences improve job satisfaction. AI tools simplify processes, allowing employees to focus on tasks that require creativity and expertise. Empowering Businesses and Workers
The South African government recognizes AI’s potential to drive innovation. The National Policy Framework for Artificial Intelligence, published in 2023, lays the groundwork for widespread adoption, focusing on empowering businesses to unlock opportunities, improve efficiency, and create jobs. A personalized experience benefits both productivity and worker wellness, ultimately improving a company’s reputation, outputs, and bottom line. Businesses should prioritize AI as a key strategy for growth and employee satisfaction. Accelerating Creation, Connection, and Engagement
AI bridges the gap between imagination and creation. Data scientists, for example, often face obstacles due to fragmented tools and limited resources. To overcome these challenges, AI developers now have access to integrated platforms that allow for seamless collaboration, faster project launches, and simplified workflows. This unified approach revolutionizes model creation and promotes flexibility in the development process. In addition, AI tools help tackle issues such as bias and drift, ensuring greater reliability and trust in AI solutions. Video conferencing is also benefiting from AI, providing life-like experiences that make remote collaboration feel more connected. Advanced voice, video, and sensor technology enhance communication, while real-time monitoring improves the user experience and elevates the sense of presence. Anticipating a Bright Future
While mass adoption of AI poses challenges, such as the energy strain from cloud-based AI applications, the benefits of AI in improving efficiency and productivity outweigh these costs. By 2027, the AI industry is expected to use as much energy as a country the size of the Netherlands. However, companies can mitigate energy consumption by adopting AI-powered PCs, which use less power than cloud-based solutions by shifting AI workloads to on-device processing. These devices are equipped with intelligent power management tools like HP’s Sure Sense 2.0, optimizing energy usage based on user behavior. Looking ahead, AI-driven PCs will play a vital role in achieving sustainability by incorporating energy-efficient technologies and smarter resource management. These advancements will help businesses reduce their carbon footprint while maintaining high performance and security. Rethinking the Future of Work
In the era of AI, businesses must rethink how work is structured. Repetitive tasks can be automated, allowing employees to focus on more strategic and valuable tasks. As a result, work will become more fulfilling, productive, and collaborative. Ultimately, AI has the potential to help employees derive greater joy from their work. Are you interested in having your interview published on our website, click here .

[Column] Yesh Surjoodeen: How AI is personalizing and transforming the employee experience
 
NBA Africa and Safaricom's M-Pesa l...

The opportunity for artificial intelligence to actually do some good has arrived—if it can be redirected toward where it’s needed most. Save
For many of the people served by the humanitarian sector, 2024 has been the worst of times. The most recent UN estimates of those forced to flee violence and disaster is a record of 120 million, a figure that has doubled in the past decade. The broader figure of those in humanitarian need, 300 million people, has been swelled by increasingly violent conflict and growing impacts of the climate crisis. Progress in meeting the UN’s Sustainable Development Goals has also been either stagnating or declining in more than half of the fragile countries. A child born in those countries has a tenfold greater chance of being in poverty than one born in a stable state. READ MORE
This story is from the WIRED World in 2025 , our annual trends briefing. The unprecedented numbers show the need for a new humanitarian surge: a technological one, harnessing the power of the digital and AI. For years we’ve (rightly) debated the risks and benefits of AI and waited for the promise of “AI for Good” to arrive. In 2025, across the aid, development, and humanitarian sector, that moment may finally be at hand. When properly leveraged, AI can open up new frontiers in humanitarian action—in scale, speed, reach, personalization, and cost savings. My organization, International Rescue Committee (IRC), and our in-house research and innovation lab, Airbel, are exploring applications of AI in our humanitarian programming. We’re seeing solutions emerging in three critical areas—information, education, and climate—each bolstered by promising public-private partnerships and collaboration. For instance, for refugees forced to flee from conflict, the first priority is timely, accurate, and context-specific information about who to trust, and where to find services and safety. The global information project, Signpost, supported by Google.org—Google’s charitable arm—in partnership with IRC, Cisco Foundation, Zendesk, and Tech for Refugees, delivers critical information to millions of displaced people through digital channels and social media, disempowering smugglers who thrive on mis- or disinformation, and saving lives along migration routes. As this work evolves, Signpost is creating an “AI prototyping lab” to de-risk and evaluate the effectiveness of Generative AI for the entire humanitarian sector. Humanitarians are also exploring the potential of Generative AI to enhance and personalize education for children affected by crises—of whom there are 224 million worldwide. A huge challenge involves testing and strengthening the potential of ChatGPT in local languages. AI models, for instance, can’t understand African languages. Lelapa AI , an African “AI research and product lab,” is working to change that, developing new languages to bring AI to Africa, while OpenAI has begun to offer low and reduced cost access to ChatGPT for nonprofits. OpenAI is also supporting the development of AprendAI , a global, AI-driven educational chatbot platform that delivers personalized digital learning experiences at scale via messaging platforms for crisis-affected children, teachers, and parents, all while testing and strengthening the potential of ChatGPT in local languages. Finally, we are seeing the power of artificial intelligence scaled to protect communities facing the harsh impacts of extreme weather. In partnership with NGOs, governments and the UN, Google has launched an AI-powered “Flood Hub,” which is currently able to forecast flooding in 80 countries. Google.org, together with IRC and the NGO GiveDirectly , i s leveraging machine learning in Northeast Nigeria to establish forecasting systems that trigger early warnings and cash transfers ahead of devastating climate hazards. Israeli scholar and historian Yuval Noah Harari described artificial intelligence as the most dangerous technology we have ever created—and potentially the most beneficial. In 2025, those benefits must accrue to the poorest in the world. Most Popular

More Humanitarian Organizations Will Harness AI’s Potential

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AI 100: The most promising artificial intelligence startups of 2024

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Lelapa AI specializes in the development of artificial intelligence solutions, with a focus on language services within the technology sector. The company offers transcription and analysis of Africa’s most popular languages and integrates these capabilities into chatbots for nuanced conversations. Lelapa AI primarily caters to businesses seeking to engage with non-English or French-speaking customers in Africa. It was founded in 2022 and is based in Johannesburg, South Africa.

Name	Work History	Title	Status
Pelonomi Moiloa	Nedbank, and Tohoku University	Founder, Chief Executive Officer	Current
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