These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
Assessing and mitigating bias and discrimination in AI
This course explains what is meant by bias in the context of machine learning algorithms, how bias can be present in the training data, and how it can be unintentionally introduced in the learning phase. Learners will gain an appreciation of why this is a concern and why it needs to be addressed. It is is divided into two sections: milestones 1-2 address the conceptual background and context, milestones 3-5 explore practical applications.
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