Data Science in AI

AI bias happens unintentionally, often as a result of non-diverse input data sets or prejudices introduced during the machine learning algorithmic development process.

These companies provide dataset collection, annotation, cleaning and model validation tools and services to help your team proactively reduce AI biases. Many utilize human-the-loop methods for use cases where fully automated decision making poses high risk.

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