Responsible AI

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Differentially private machine learning at scale with JAX-Privacy

Algorithms & Theory, Artificial Intelligence, Responsible AI, Security, Privacy and Abuse Prevention

We announce the release of JAX-Privacy 1.0, a library for differentially private machine learning on the high-performance computing library, JAX. From personalized recommendations to scientific advances, AI models are helping to improve lives and transform industries. But the impact and accuracy of these AI models is often determined by the quality of data they use. […]

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Separating natural forests from other tree cover with AI for deforestation-free supply chains

Artificial Intelligence, Climate & Sustainability, Global, Open Source Models & Datasets, Responsible AI

Natural Forests of the World 2020 is an AI-powered map that distinguishes natural forests from other tree cover. This critical baseline helps governments, companies, and communities meet deforestation-free goals and protect ecosystems. Forests are vital for our planet as they regulate rainfall, mitigate floods, store and sequester carbon, and help sustain the majority of the planet’s

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