Harnessing AI in Architecture: Revolutionizing Design Processes
It’s safe to say that fintech experts are finding a way to use AI in several industries, and architectural drafting is no exception. This can be for quick follow-ups and consumer verifications for the purpose of promotion as initiated by call centers. The idea, at least in theory, is to use artificial intelligence rather than outsourcing architectural design. Quite Naturally, it is an effectively faster and more precise method of dealing with technical issues and drafts.
However, alongside the potential, there have been several red flags raised against the potential challenges it poses. Some of these are technical issues about the accuracy of the end product, while others are ethical challenges about the safety of the design and its implementation. This article goes through some of the potential uses of harnessing AI in architectural design as well as its shortcomings.
Why is architectural design necessary?
Design is a part of quite literally every part of what has a structure and can be visually perceived; when it comes to architectural drafting, however, it is a matter of the integrity of structures, buildings, roadways, etc. So it’s pretty much indispensable and crucial. Some of the areas where the proposed use of AI is found are:
- Prototyping the Design
One of the main uses of CAD in all industries is during design and prototyping. CAD makes it possible to have the recreation of highly precise 3D designs of models and products, which can be changed and viewed from different angles and modified as needed. Some experts propose we use AI in this drafting and modeling process.
- Quality Control
CAD is extremely handy when it comes to troubleshooting and spotting any bottlenecks during the manufacturing phase. Exports are saying there might be potential use of AI here, too. The designs modeled with this technique can be used to visualize and create the first run of every idea that you have for your models. This ensures that the final product is manufactured exactly the way it was envisioned.
What drawbacks are we looking at?
We must focus on several shortcomings while talking about AI in architecture.
- Initial Cost of Training
As a tool that essentially depends on the training received on existing data, there is quite a bit of labor and expense involved in training the model. This includes the price of software, hardware, and labor for training. So, this is not all that viable for smaller firms.
- Inaccuracy
Essentially, much of AI is filled with hallucinations and inaccuracies, which makes it a dangerous addition to architectural drafting.
Wrapping Up
That brings us to the end of some of the ways in which AI can be used in architectural drafting, as well as the technology’s shortcomings. While there certainly is great potential for change and improvement as it is right now.
