Artificial intelligence is a new frontier. Many are concerned over change and how improving efficiency with AI in construction technology will change the industry. One of the ways in which the logic can become distorted is when a bias is present in the data. Preventing AI bias in construction technology is an important concept to understand if we are to accelerate progress within these innovations.
Exploring the concept of AI technology in construction
Preventing AI bias in construction technology can enhance efficiency, improve data accuracy, and boost productivity. By addressing AI bias, construction firms can ensure fair, reliable systems that optimize project management, reduce rework, and support growth in land acquisition and cost reduction.
“Whether we like it or not, all of our lives are being impacted by AI today, and there’s going to be more of it tomorrow,” Senthil Kumar, Chief Technology Officer at data analytics company Slate Technologies, told Built In. “Decision systems are being handed off to machines — and those machines are biased inherently, which impacts all our lives.”
What is AI bias in construction technology?
Based on the algorithmic structure of machine learning, programs can be trained with skewed data or flawed programming that is inherent in human interactions. AI can mirror and amplify the data it is provided. It is important to note that these processes cannot exist without careful review, processes for checking accuracy, and procedures for ensuring that the outcomes are not inflating poor data inputs.
Accurate data in AI for construction technology
Just like with any system, a balance must remain. Preventing AI bias in construction technology is just like preventing bias in any system – it must be carefully considered, viewed, reviewed, and kept in check. The concept of “trust” is not lost on AI in construction technology. While algorithms may produce intelligent insights and recommendations, it is only as insightful as the data it is provided.
Read more about this interesting topic on the Builtin article here: https://builtin.com/artificial-intelligence/ai-bias