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AI systems are increasingly used to support decision-making in various fields, but for widespread adoption, people need to trust these systems by understanding how they work and ensuring they are safe, fair, and reliable. IBM Research is developing methods to make future AI systems more transparent, robust, and aligned with societal values, aiming to improve fairness and accountability throughout their lifecycle.

This extensible open source toolkit from IBM Research can help you examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle.