The next generation of AI safeguards:

Going beyond the human-in-the-loop

ON DEMAND WEBINAR
Duration: 30 minutes

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 webinar, 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
  • Ensure 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​

SPEAKERS

Shyam Rajagopalan
Co-founder and CTO
Infinitus
 


Arushi Raghuvanshi
Machine Learning Lead
Infinitus
 


Manas Paldhe
Tech Lead
Infinitus
 

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