The State of Responsible AI: 2021 - Portuguese

Detecting data bias, ensuring model explainability, monitoring predictive analytics in the real-world, and enforcing AI governance

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The results from a recent survey of Chief Analytics and Data Officers and AI ethics thought leaders from around the world will highlight the current adoption of transparent, fair, trustworthy, and robust AI and Machine Learning. The latest state-of-the-art will also be shared on what organizations are doing with respect to detecting data bias, ensuring model explainability, monitoring predictive analytics in the real-world, and enforcing AI governance to grow consumer trust and create lasting customer value.

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