Tag: Human-AI Collaboration

This use case is geared towards utilizing techniques like simulated data, active learning, and XAI (Explainable Artificial Intelligence) to enable model training with limited training data. The incorporation of simulated data enhances the training process by exposing the model to a broad spectrum of data, even when real data is scarce. Active learning enables the […]

Once a model is deployed in production, it requires careful maintenance. During production, unforeseen issues can arise, and humans are essential for immediate problem-solving and recalibration of the model. The synergy of machine learning models with human expertise is therefore crucial to optimize the production quality control process. Human feedback is vital for refining the […]

This use case emphasizes on the safety of interactions between human and machine during quality inspection tasks. In this use-case the goal is to ensure mental and physical safety of the factory workers, by monitoring workers’ fatigue when performing manual labelling of images.  By detecting workers’ fatigue, attention and/or mental stress during the labelling process […]