The Bihar State Pollution Control Board (BSPCB) will be implementing artificial intelligence (AI) and remote sensing technology to detect key sources of air pollution through satellite image and real-time monitoring. The initiative is a collaborative undertaking between the BSPCB and the United Nations Development Programme (UNDP). The move comes to fulfil the Central Pollution Control Board of India (CPCB) directive issued in 2017, mandating brick kilns across India to convert to the less polluting zigzag design. According to the BSPCB, brick kilns cause 14% of the air pollution in the state, while domestic burning is responsible for 22% of the air pollution.

The Bihar State Election Commission announced to automate vote-counting amid the 2021 Bihar Panchayat poll election. This was the first time an artificial intelligence (AI) system was used for vote counting in the country. JARVIS, an artificial intelligence (AI) powered proprietary Video Analytics of Staqu would count votes through the camera that monitors the screens of electronic voting machines (EVMs) with the help of Video Management Software (VMS) and video analytics (VA). 

Bihar is India’s most flood-prone state with 16.5% of India's flood affected area and 22.1% of India's flood affected population. Google has devised a new approach for inundation modelling, called a morphological inundation model, which combines physics-based modelling with ML to create more accurate and scalable inundation models in real-world settings. Known as the Google Flood Forecasting Initiative, it provides accurate real-time flood forecasting information and alerts to those in affected regions. This initiative, now a pan-India effort, was first piloted in Patna in Bihar in 2018.