• IBM Watson OpenScale: Provides real-time monitoring, fairness checks, and explanations of AI models to ensure transparency and accountability.
  • AIX360 (AI Explainability 360): An open-source library providing diverse methods for explaining AI models, including local and global explanations.
  • IBM Cloud Pak for Data: Includes features that enhance the explainability of AI models, supporting transparency and understanding in business decision-making.
  • AI Fairness 360 Toolkit (AIF360): Helps in detecting and mitigating bias in AI models, promoting fair and transparent AI practices.
  • Watson Studio with Explainable AI(Healthcare): Offers explainability features that highlight the reasons behind predictions, aiding in transparency and trust.