In our prior articles on artificial intelligence (AI) in construction, we discussed machine learningimage recognition, sensors-on-sitebuilding information modeling, and smart contracts. As we noted, significant legal issues will arise with the increasing implementation of these technologies. These issues can be grouped generally into: (1) risk allocation; (2) ownership and protection

In this article, we continue our series on artificial intelligence (AI) in construction. Here we address image recognition and sensors-on-site. This technology uses cameras and other sensors to assess vast quantities of video, pictures, and other recorded conditions from worksites. Such technology has the potential to: (1) monitor worksite conditions for safety risks and hazards;

Artificial Intelligence (AI) is a broad term that generally refers to technology that uses algorithms to process data and simulate human intelligence. Examples of AI technology include machine learning, image recognition and sensors-on-site, building information modeling (BIM), and “smart contracts” stored on a blockchain-based platform. This technology can be used in the construction industry by

While the spread of Artificial Intelligence (AI) in the construction sector is expected to be modest in the immediate future, a shift is coming. Stakeholders can no longer afford to see AI as pertinent only to other industries – engineering and construction will need to catch up with AI applications. This is the only way