Several technologies and tools are available to help detect and mitigate bias in training data: - AI Fairness 360: An open-source toolkit by IBM that offers a comprehensive set of metrics for examining dataset fairness and algorithms for mitigating bias. - Fairlearn: A tool that provides data scientists with algorithms and metrics to understand bias and make their AI systems fairer. - Google's What-If Tool: Allows users to analyze machine learning models for bias and fairness across different groups. Implementing these tools can help in the proactive management of bias within datasets.
- Log in or register to contribute
Contribute to three or more articles across any domain to qualify for the Contributor badge. Please check back tomorrow for updates on your progress.