The Artificial Intelligence in Construction – construction stages assignment. Also, the assignment focuses on different building stages. Initiation, planning, implementations, performance and monitoring, and closing, to increase productivity and performance.
 

Artificial Intelligence in Construction – construction stages assignment

The research focuses on analysing how artificial intelligence can used in construction stages. initiation, planning, implementations, performance and monitoring, and closing, to increase productivity and performance. (Ayhan and Tokdemir, 2019). During constructions, multiple challenges, such as inefficient risk management, lack of skilled labour, inadequate budget and workload forecasting, can met. As a result, 98% of construction projects exceed their budgets and 77% completed with delays. (Changal, Mohammed, and Nieuwland, 2020). All these challenges and their impact have a significant correlation to the human error aspect and the inability of current technology and expertise to analyse the myriad of variables related to construction projects. Also, “We have allowed our civilization to outrun our culture; we have allowed our technology to outdistance our theology and for this reason we find ourselves caught up with many problems.”
-Martin Luther King

Artificial Intelligence in Construction – construction stages assignment

There are some who question whether strong AI will ever achieved. And others who insist that the creation of superintelligent AI guaranteed to be beneficial. At FLI we recognize both of these possibilities. But also recognize the potential for an artificial intelligence system to intentionally harm. We believe research will help prepare prevent such potentially negative consequences in future. Thus enjoying the benefits of AI while avoiding pitfalls. FLI’s position is that our civilization will flourish. As long as we win the race between the growing power of technology and the wisdom with which we manage it. In the case of AI technology, FLI’s position is that the best way to win that race is not to impede the former, but to accelerate the latter, by supporting AI safety research.

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