Categories
Explore techniques organized by their primary assurance goals. Each category represents a key aspect of responsible AI development.
General
Techniques that govern, record or control the work of building and running an AI system, rather than assess one property of the model.
Explainability
Understanding how AI systems make decisions and what factors influence their outputs.
Fairness
Ensuring AI systems treat different groups and individuals equitably.
Privacy
Protecting personal data and maintaining confidentiality in AI systems.
Reliability
Building AI systems that perform consistently and predictably.
Safety
Ensuring AI systems operate safely and do not cause harm.
Security
Protecting AI systems from malicious attacks and unauthorized access.
Transparency
Making AI systems and their decision-making processes open and understandable.