Responsible AI: The importance of de-biasing natural language systems
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