{"id":"C9NezWV7jY8","title":"User-Owned AI: Democratizing Access & Data Privacy","description":"Illia Polosukhin explores the core principles of user-owned AI, emphasizing equal access to AI models and consistent safety rules. Ensuring transparency and confidentiality for your data, unlike closed-source providers, with all data remaining on your side. #UserOwnedAI #AIEthics #DataPrivacy #AITransparency #OpenSourceAI #AICommunity #AIInnovation #MachineLearning #ArtificialIntelligence #DataSecurity #NEARprotocol","channel_name":"NEAR Protocol","published_at":"2025-07-12T00:00:00.000Z","thumbnail_url":"https://img.youtube.com/vi/C9NezWV7jY8/hqdefault.jpg","transcript_text":"User on AI is really about solving those fundamental problems. It's really about creating a platform where you can have equal access to AI models for everyone equal both that you know you can access it as well as whatever safety rules are applied applied equally to everyone. Even if you build this model you have no you know better access than somebody else. The rules are known and agreed beforehand so everybody knows it's not changing. you have kind of transparency in and in how you use it, but you also have confidentiality, right? Again, right now as you're using closed source provider, you're effectively giving them your data and you know, maybe they'll discard it as you, maybe they'll keep it and train on it, maybe something else, right? You never know. And so here we actually guarantee confidentiality for all your data. It's always on your","transcript_synced_at":"2026-11-03T04:52:46.257Z","segments":[{"start_seconds":0,"text":"User on AI is really about solving those fundamental problems. It's really about creating a platform where you can have equal access to AI models for everyone","url":"https://www.youtube.com/watch?v=C9NezWV7jY8&t=0s"},{"start_seconds":9,"text":"equal both that you know you can access it as well as whatever safety rules are applied applied equally to everyone.","url":"https://www.youtube.com/watch?v=C9NezWV7jY8&t=9s"},{"start_seconds":14,"text":"Even if you build this model you have no you know better access than somebody else. The rules are known and agreed","url":"https://www.youtube.com/watch?v=C9NezWV7jY8&t=14s"},{"start_seconds":23,"text":"beforehand so everybody knows it's not changing.","url":"https://www.youtube.com/watch?v=C9NezWV7jY8&t=23s"},{"start_seconds":27,"text":"you have kind of transparency in and in how you use it, but you also have confidentiality, right? Again, right now as you're using closed source provider,","url":"https://www.youtube.com/watch?v=C9NezWV7jY8&t=27s"},{"start_seconds":34,"text":"you're effectively giving them your data and you know, maybe they'll discard it as you, maybe they'll keep it and train","url":"https://www.youtube.com/watch?v=C9NezWV7jY8&t=34s"},{"start_seconds":41,"text":"on it, maybe something else, right? You never know. And so here we actually guarantee confidentiality for all your","url":"https://www.youtube.com/watch?v=C9NezWV7jY8&t=41s"},{"start_seconds":49,"text":"data. It's always on your","url":"https://www.youtube.com/watch?v=C9NezWV7jY8&t=49s"}],"youtube_url":"https://youtube.com/watch?v=C9NezWV7jY8","url":"https://near-pedia.xyz/videos/C9NezWV7jY8"}