Top 5: Tools for Responsible and Explainable AI (2025)
Toolkits and platforms for AI developers helping ensure fairness, transparency, interpretability, and robustness of models.
Top Items:
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01
IBM AI Fairness 360
IBM AI Fairness 360 (AIF360) is an open-source, extensible toolkit for detecting and mitigating algorithmic bias in ML models and GenAI....
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02
IBM AI Explainability 360
IBM AI Explainability 360 (AIX360) is an open-source Python toolkit under the LF AI & Data Foundation. It provides a modular library of...
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03
Google What-If Tool
The What-If Tool (WIT) is an open-source visual orchestration layer for ML interpretability, integrated with Vertex AI. It enables...
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04
IBM Adversarial Robustness Toolbox (ART)
IBM Adversarial Robustness Toolbox (ART) is a Python-based security orchestration library for machine learning, providing a unified...
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05
Microsoft Counterfit
Microsoft Counterfit is an open-source security orchestration framework designed to automate adversarial risk assessments for machine...
