AI Discrimination Prevention
AI Discrimination Prevention involves the development and implementation of measures to ensure that artificial intelligence systems do not result in biased or discriminatory outcomes. This includes strategies to mitigate the impact of bias in AI algorithms, promote fairness and equity in decision-making processes, and address issues related to discrimination based on race, gender, age, or other protected characteristics. Additionally, AI Discrimination Prevention involves the use of tools and techniques to identify and correct bias in AI systems, as well as monitoring and evaluating their performance to prevent discriminatory practices.