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Silicon Flash > Blog > AI > Meta will train AI models using EU user data
AI

Meta will train AI models using EU user data

Published April 20, 2025 By Juwan Chacko
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Meta will train AI models using EU user data
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Meta has officially announced its intention to leverage user-generated content from adult users in the European Union (EU) to train its AI models.

This decision comes in the wake of Meta’s recent introduction of Meta AI features in Europe, with the goal of enhancing the capabilities and relevance of its AI systems for the diverse population in the region.

In a recent statement, Meta stated, “Today, we are unveiling our strategy to train AI at Meta using publicly shared content – such as public posts and comments – from adult users on our platforms in the EU. Additionally, interactions with Meta AI, like questions and queries, will also contribute to the training and improvement of our models.”

Beginning this week, users of Meta’s platforms within the EU, including Facebook, Instagram, WhatsApp, and Messenger, will receive notifications explaining the data usage. These notifications will be delivered both in-app and via email, outlining the types of public data involved and providing a link to an objection form.

Meta has assured users that the objection form is easily accessible, comprehensible, and user-friendly, committing to honoring all objection forms previously submitted as well as any newly submitted ones.

It is important to note that Meta has specified certain data types that will not be used for AI training purposes. Specifically, the company will not utilize private messages between individuals or public data associated with accounts of users under the age of 18 in the EU for training its generative AI models.

Meta’s initiative in the EU is framed as a necessary step towards developing AI tools tailored specifically for EU users. Last month, Meta introduced its AI chatbot functionality across its messaging apps in Europe, positioning this data usage as a crucial phase in enhancing the service.

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The company emphasized its commitment to creating AI that is not just accessible to Europeans but is specifically designed for them, taking into account dialects, colloquialisms, hyper-local knowledge, and cultural nuances unique to different countries in the region.

As AI models evolve to incorporate multi-modal capabilities spanning text, voice, video, and imagery, Meta’s actions in the EU are situated within the broader industry landscape. The company pointed out that utilizing user data to train AI models is a common practice, citing examples from other tech giants like Google and OpenAI who have employed data from European users for similar purposes.

Meta also highlighted its transparency relative to industry counterparts, asserting that its approach is more open and transparent. In terms of regulatory compliance, Meta referenced engagement with regulators and a favorable opinion from the European Data Protection Board (EDPB) in December 2024.

While Meta presents its approach as transparent and compliant, concerns regarding the use of public user data to train AI models persist. The definition of “public” data, issues of informed consent, algorithmic bias, and intellectual property rights are some of the key areas of concern raised by privacy advocates.

As technology giants increasingly rely on user-generated content to fuel AI advancements, the debate surrounding data privacy, informed consent, and ethical responsibilities of AI developers is likely to intensify in Europe and beyond.

For more insights on AI and big data from industry experts, consider attending the AI & Big Data Expo in Amsterdam, California, and London. This event, co-located with other leading conferences, offers a comprehensive platform to explore the latest trends and innovations in the field of artificial intelligence and big data.

See also  Revolutionizing Data Center Infrastructure: Strategies for the Future

To stay updated on upcoming enterprise technology events and webinars, powered by TechForge, visit their events page for more information.

TAGGED: data, Meta, models, train, User
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