Bias Mitigation

Bias mitigation refers to the strategies and techniques employed to identify and reduce biases in data, algorithms, and decision-making processes. This practice is essential in fields such as artificial intelligence, machine learning, and data science, where biased outcomes can lead to unfair treatment or discrimination. Effective bias mitigation enhances fairness, accountability, and transparency in technology, ensuring equitable results across diverse populations. By addressing biases, organizations can foster ethical AI practices, improve model accuracy, and build trust with users, ultimately leading to better business outcomes and social responsibility.

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