Business Ethics in Artificial Intelligence
Bias mitigation refers to the strategies and techniques used to identify, reduce, and eliminate biases present in data and algorithms, ensuring fairer outcomes in artificial intelligence applications. This process is crucial for promoting ethical practices in AI, as biases can lead to unfair treatment of individuals or groups based on race, gender, or other characteristics. By addressing these biases, organizations can enhance the integrity of their AI systems and foster trust with users.
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