bias mitigation

**bias mitigation**
Bias mitigation refers to the strategies and techniques used to identify, reduce, and manage biases in data, algorithms, and decision-making processes. In contexts such as machine learning, artificial intelligence, and social sciences, bias mitigation aims to promote fairness, accuracy, and inclusivity by addressing prejudices that can lead to unfair outcomes or discrimination. This tag is ideal for posts discussing methods, tools, research, and best practices focused on minimizing bias in technology and decision frameworks.