Responsible AI
Responsible AI is the practice of designing, building, and deploying artificial intelligence systems in ways that are fair, safe, transparent, accountable, and aligned with human values and applicable law.
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Glossary Terms(5)
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…
AI Governance
AI governance is the set of policies, processes, roles, and controls that organizations and regulators put in place to ensure AI systems are developed and used…
AI Red Teaming
AI red teaming is the practice of systematically probing an AI system — typically a large language model or generative AI product — for security vulnerabilitie…