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We tend to think of AI as an objective source of truth. But AI is built by and trained on data from humans – meaning harmful prejudices make their way into the very results on which we depend. How can we as users and decision-makers ensure these biases don’t impact the choices we make in the real world?
Committing to responsible AI is more critical today than ever before. Watch this on-demand webinar for a conversation with Robyn Speer, Chief Science Officer, where you’ll learn:
How and why bias appears in AI
The impact of bias on natural language systems
The importance of de-biasing AI systems
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