Explainable AI
Explainable AI (XAI) is a set of methods and practices for making the decisions and internal workings of machine learning models understandable to humans, so that predictions can be interpreted, trusted, audited, and contested.
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Glossary Terms(3)
Explainable AI (XAI)
Explainable AI (XAI) is a set of methods and practices for making the decisions and internal workings of machine learning models understandable to humans, so t…
Responsible AI
Responsible AI is the practice of designing, building, and deploying artificial intelligence systems in ways that are fair, safe, transparent, accountable, and…
AI Bias
AI bias refers to systematic errors in a machine learning model's outputs that unfairly favor or disadvantage particular groups or outcomes, typically arising…