Responsible AI
8 items tagged with "responsible-ai"
Best Practices6
NIST AI Risk Management Framework 1.0
Guidelines to integrate trustworthiness considerations into the design, development, and deployment of AI systems.
Google Responsible AI Principles
Seven commitments guiding the ethical development and deployment of AI at Google.
LLM Guardrails
LLM guardrails are programmatic checks on model inputs and outputs that enforce safety, format, topic, and policy rules, blocking or correcting unsafe or off-policy responses.
ISO/IEC 42001 AI Management System
ISO/IEC 42001 is the first international standard for an Artificial Intelligence Management System, giving organizations a certifiable framework to govern AI responsibly.
AI TRiSM (Trust, Risk and Security Management)
AI TRiSM is a framework for managing the trust, risk, and security of AI systems across explainability, model operations, data protection, and runtime application security.
Hallucination Mitigation
Hallucination mitigation reduces confident but false LLM output through grounding, retrieval, citation, verification, and uncertainty handling so answers can be trusted.