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Monitoring ML models to ensure they do not replicate systemic biases in grading or behavioral predictions.

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Join the forefront of educational innovation and create a healthier, more efficient learning environment with ultraviolet schools, ML, and Google.

Indoor air quality in schools is critical for reducing pathogen transmission (e.g., influenza, COVID-19, common colds). Ultraviolet Germicidal Irradiation (UVGI), particularly far-UVC (222 nm), is a proven technology to inactivate airborne viruses and bacteria. However, static UV deployment often leads to energy waste, uneven coverage, or overexposure risks. This paper explores how — using accessible tools like Google’s TensorFlow or Google Cloud AutoML — can intelligently control UV systems in schools. We provide a practical framework for integrating sensors, predictive modeling, and automated UV scheduling to maximize safety while minimizing costs. It is described as a fast, effective proxy

Machine learning-assisted high-throughput prediction and ... - Nature