Reducing bias in AI models through open source

Reducing bias in AI models through open source Global AI AI's language gap in numbers Dad jokes are complicated Open sourcing a new path The growing efforts of AI sovereignty A multilingual AI future More models, less bias Get started with AI for enterprise: A beginner’s guide About the author Adam Wealand More like this Blog post Blog post Original podcast Original podcast Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share An experience can plant a seed in your mind that grows into a much bigger idea. I recently visited Japan, a beautiful country with a rich and defined culture, and was reminded of how deeply language and culture are intertwined. Language structure reflects and also influences how people perceive the world. For example, some cultures are more informal, while others with established social hierarchies tend to be more formal. It’s manifested grammatically, and also in the way people greet each other, the way questions are formed, and the very rhythm of conversation. This experience sparked a question for me: as we build a new generation of AI, how do we train it to speak the language of all cultures? We often hear about AI as a revolutionary global tool, a technology for all of humanity. But if AI is learning from our collective data, whose culture is it truly learning? The promise of a universally intelligent system is powerful, but it masks a critical issue, in that today's most powerful AI models are not culturally neutral. They are a direct reflection of their training data, which is overwhelmingly English-centric and Western-biased. The concept of "AI sovereignty" becomes particularly relevant to this Western-biased model training. It's not simply about having access to technology or hardware, but also about building AI that can reflect a nation's or community's unique languages, values, and culture. We believe the key to achieving this lies in the world of open source AI. Digital sovereignty, particularly in the context of AI, is rapidly evolving from an abstract concept to a critical, real-world issue.