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Get a sneak preview of Mozilla Data Collective’s community compensation feature! 🎉 As the data sharing platform for human agency and fair value exchange, Mozilla Data Collective was built to redefine how AI data is created, shared, and governed. Today, we’re making our first community-created datasets available for paid commercial licensing. These datasets point to the ecosystem we want to help build: one where builders can access data that is useful, contextual, documented, and ethically sourced; and where the people and communities creating that data are valued, recognised, and supported. We’re starting with three launch datasets: Brazilian Sign Language (LIBRAS) Healthcare Corpus by Data-Pop Alliance https://lnkd.in/e4qHU7FW Medical Domain Mexican Spanish Speech Corpus https://lnkd.in/e7MRbAye Conversational Speech in Gujarati in the Medical Domain by Karya https://lnkd.in/emmtq3he For those creating, or seeking, high-quality datasets, we would love to hear from you. You can fill out our super-quick question form about your dataset offer or need, and our Partnerships and Data Curation teams will get back to you. 👉 Form here: https://lnkd.in/egk4E7sq This is only the beginning! In the coming weeks, the compensation feature will go LIVE for all users, and our team will be supporting more data owners to share their own compensated datasets that collectively drive toward a more multilingual, multicultural, and multimodal future grounded in human agency. #DataStewardship #ResponsibleAI #DataGovernance

We loved this interview with SiliconANGLE & theCUBE. AI has a data problem: there isn't enough, and what there is was often created through extraction, opacity, and uneven value exchange. Some of these tactics are under legal scrutiny. We need to unlock new pathways to data abundance through working with, not around, communities. Mozilla Data Collective is building a different path: one rooted in community ownership, consent, trust, and fair value exchange. A place where dataset creators and stewards can share data on their own terms, and where developers can discover high-quality, contextualized datasets with greater transparency. This is exactly why Mozilla Data Collective exists: to support a more multilingual, multicultural, multimodal, and community-led AI future, built with human agency at the centre. 👉 Read the full feature with our CEO and Founder, E.M. here: https://lnkd.in/eEkiQCmT #AI #DataGovernance #ResponsibleAI #InclusiveAI

Did you know that under-represented languages pay MORE for WORSE AI? Join us for a free hands-on webinar with Hilary A., Senior Product Manager at Spotify and creator of the “Six Layers of Bias” framework, alongside Johann Diedrick, Staff Research Engineer at Mozilla Data Collective. Together, they’ll explore tokenization bias, show how different tokenizers fragment multilingual text, and walk through a reproducible audit you can run for any language. You’ll learn how to: - Visualize tokenization across languages using real datasets - Calculate token inflation and its cost for multilingual products - Apply practical mitigations for more equitable AI systems Register here: https://lnkd.in/e6sNK6ZS Date: July 2nd Time: 6.00 PM CET | 12 PM ET | 9 AM PDT Location: Online via Zoom Join us as we work toward AI that better serves every language community!

Until the part where you try to figure out if you can actually use it. Mozilla Data Collective hosts multilingual datasets with terms set by the people who made them. Clear licensing. Authenticated access. No ambiguity. Just search, download, go! Free to sign up. Go browse.

Last chance to register! This Thursday, June 4th, Common Crawl Foundation and Mozilla Data Collective are hosting a hands-on webinar on testing frontier LLMs, training local-first models, and adapting the full pipeline to a language you care about. Join Laurie Burchell and Pedro Ortiz Suarez from Common Crawl, alongside Kostis Saitas Zarkias and Robert Pugh from Mozilla Data Collective, for a practical session designed for anyone interested in multilingual AI. Thursday, June 4th 6 PM CEST | 12 PM ET | 9 AM PDT Register here via Zoom: https://lnkd.in/ensJ2TVw

Under-represented languages deserve better AI tools! On June 4th, Common Crawl Foundation and Mozilla Data Collective will host a webinar to test frontier LLMs, train local-first models, and show you how to extend the whole pipeline to a language you care about. RSVP and join speakers Laurie Burchell and Pedro Ortiz Suarez from Common Crawl and Kostis Saitas Zarkias and Robert Pugh from Mozilla Data Collective for a truly hands-on session. Thursday, June 4th 6 PM CEST | 12 PM ET | 9 AM PDT Register here via Zoom: https://lnkd.in/ez5kqKMu