A Survay of Human-in-the-loop for Machine Learning
Matteo Bertoia
![Matteo Bertoia]()
Matteo Bertoia
🎯 Project Technical & Engineering Manager | 6.5+ Yrs in Aerospace AI | Founder | Driving ML, Autonomy & Innovation @ Scale
The paper provides a comprehensive review of Human-in-the-Loop (HITL) methodologies in machine learning. It categorizes HITL approaches into three main areas: data processing, interventional model training, and system-independent HITL design. It also discusses challenges and future directions for HITL-based AI systems.
Read the full article here: A Survay of Human-in-the-loop for Machine Learning