During its Build 2020 developer conference, which takes place online this week, Microsoft announced the addition of new capabilities to Azure Machine Learning, its cloud-based environment for training, deploying, and managing AI models. WhiteNoise, a toolkit for differential privacy, is now available both through Azure and in open source on GitHub, joining new AI interpretability and fairness tools as well as new access controls for data, models, and experiments; new techniques for fine-grained traceability and lineage; new confidential machine learning products; and new workflow accountability documentation.

The effort is a part of Microsoft’s drive toward more explainable, secure, and “fair” AI systems. have shown bias in facial recognition systems to be pervasive, for instance, and AI has a privacy problem in that many models can’t

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