Open Source Machine Learning

Open-source machine learning (OSML) focuses on developing and sharing publicly accessible machine learning tools and models, aiming to democratize access to advanced AI capabilities and foster collaborative research. Current research emphasizes improving model explainability and fairness, particularly in high-stakes applications like healthcare and social decision-making, as well as exploring techniques for privacy-preserving machine learning through homomorphic encryption. The widespread adoption of OSML facilitates advancements across diverse scientific fields by providing readily available tools and datasets, while also enabling the development of more robust and ethically sound AI systems for practical applications.