Jan 20, 2025
HITL For High Risk AI Domains
Tyler Edwards, Sruthi Kuriakose, Subramanyam Sahoo, Shamith Achanta
Summary
hitl-for-high-risk-ai-domains
Our product addresses the challenge of aligning AI systems with the legal, ethical, and policy frameworks of high-risk domains like healthcare, defense, and finance by integrating a flexible human-in-the-loop (HITL) system. This system ensures AI outputs comply with domain-specific standards, providing real-time explainability, decision-level accountability, and ergonomic decision support to empower experts with actionable insights.
Cite this work:
@misc {
title={
HITL For High Risk AI Domains
},
author={
Tyler Edwards, Sruthi Kuriakose, Subramanyam Sahoo, Shamith Achanta
},
date={
1/20/25
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}