AI-in-the-Loop -- The impact of HMI in AI-based Application

The paper discusses the integration of human-machine interaction (HMI) in AI development, particularly for embedded applications, where HMI is typically absent during AI architecture design and training. While human-in-the-loop (HITL) is widely used in data selection, cleaning, and evaluation, its role in AI model design is often overlooked. The proposed approach leverages HMI to identify unproductive layers in AI architectures, leading to lightweight and efficient models for embedded systems. The AI-in-the-loop concept is introduced, where AI handles tasks autonomously but requests human input via HMI when uncertain. This enhances AI reliability, explainability, and usability, making AI more accessible for real-world applications.

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