Creating guardrails at every level

The concept of “human in the loop” in AI involves integrating human judgment to oversee and validate AI outputs, especially in high-stakes fields like healthcare. While human intervention is a powerful, crucial guardrail, it’s also not enough.

In this session, we’ll explore what it means to balance a human-centric approach to AI with technology guardrails that ensure the safe and accurate use of automation. We will demonstrate how the right AI system for healthcare can enable users to:

Mitigate LLM risks

Leverage the value of large language models (LLMs) for information extraction without any of the risk

Eliminate hallucinations

Put to rest any concerns of false or misleading information being presented as fact

Conversational fluency

Ensure the AI can understand, respond to, and navigate hundreds of questions and conversational turns

Remove bias

Avoid both creating and/or reinforcing discrimination in conversation