Definition
Responsible AI in RAG and agentic systems refers to the implementation of technical guardrails and evaluation frameworks to ensure LLM outputs are factually grounded, unbiased, and secure. It involves a trade-off between safety and latency, as additional moderation layers (like guardrails or hallucination checks) increase the time-to-first-token.
Focuses on technical safety layers and grounding rather than general corporate ethics.
"A transparent security checkpoint that validates the 'passport' (source attribution) of every outgoing response and scans incoming requests for contraband."
- Grounding(Prerequisite)
- Hallucination(Risk)
- Prompt Injection(Threat)
- PII Redaction(Component)
Conceptual Overview
Responsible AI in RAG and agentic systems refers to the implementation of technical guardrails and evaluation frameworks to ensure LLM outputs are factually grounded, unbiased, and secure. It involves a trade-off between safety and latency, as additional moderation layers (like guardrails or hallucination checks) increase the time-to-first-token.
Disambiguation
Focuses on technical safety layers and grounding rather than general corporate ethics.
Visual Analog
A transparent security checkpoint that validates the 'passport' (source attribution) of every outgoing response and scans incoming requests for contraband.