Artificial Intelligence in Architecture: Examples, Advantages and Disadvantages AI

Artificial intelligence architecture

We are already immersed in the internet of things - IoT, even if it does not seem like it or we do not perceive it with the naked eye. The information is managed daily with Big Data systems to extract data and conclusions that 10 years ago it was unthinkable to synthesize them and now, the future is already heading towards artificial intelligence or AI

You are ready? Do you think that a "machine" can never replace you? Well be careful, because the architecture sector is changing by leaps and bounds.

Just as CAD drafting yields detailed drawings and made our manual skills almost irrelevant by saving a lot of time on project writing.

Systems artificial intelligence in architecture They can do the same with current experience, for example in cost estimates, in design or in preparing the necessary documentation for construction, works or renovation and, moreover, without rest. For example…

The video above represents: a mix of AI + BIM + Parametric Design. A project that we can adapt to hundreds of heights automatically. Many things can be done! So let's start to understand how it will affect us …

What is the evolution of virtual or artificial intelligence

Here, we would like to show the evolution in artificial intelligence and what are its trends graphically testing the unstoppable increase:

The rapid growth of the AI sector is the result of a perfect storm of factors: cheap parallel processing power, vast creation of large amounts of data, and the competitive needs of companies in multiple sectors that recognize the need to increase their productivity.

This combination of factors is expected to generate a virtuous cycle and exponential growth in the next decade. By sectors and countries we can test:

Artificial intelligence trend inarchitecture

Recognizing that we are in the information age and its analysis is nothing new, but trends such as the Big data with concepts as interesting as the Predictive Analytics whose explanation 1and1 details us here, or new perspectives that go much further than analytical and that combine virtual and artificial intelligence. Now it's time to understand a little more about AI and how it will affect us.

According to experts there are two futures for the professions and both will rest on technology.

  • The first, a much more efficient version of what we currently have. This is where the architects will use technology to optimize traditional ways of working.
  • The second, the Technology not only streamlines or streamlines daily work, but also displaces the professional's workl. That is, machines or systems will appear capable of operating alone or with users, but that need to have different skills than today's architect. This new technology will take on tasks that we have considered can only be done in a traditional way.

Sorry!… But we have to recognize that the first option, in the long term, will disappear. The traditional professions; be an architect, engineer, builder, bricklayer … Although we are excited about the first future (more powerful design software that calculate more complex structures, for example) the reality will be different.

Why will we have a different future?… We will have tasks instead of jobs. We think that professional work is a set of individual efforts, but in practice, what we do are different activities or tasks in our jobs, and, here, the artificial intelligence technology.

A example of artificial intelligence in action…

The artificial technology It does not displace entire jobs, but rather changes the "tasks" that people do at work. For example, CAD software does not replace architects, it changes the tasks they perform. At this point, it is wrong to think that "being creative" represents a guaranteed job, of course certain daily tasks will require creativity, but not all of them require it, as the video on intuitive artificial intelligence.

So the architecture sector and its professionals will have to adapt to the challenges of the so-called «Second Age of Machines“When machines not only do things that we program, but they can do the tasks that we do.

Examples artificial intelligence

The perfect example of a project withartificial intelligence in architecture we bought it from Autodesk called Dreamcatcher. What if, through a CAD system, we could generate thousands of options for a design that meets specific objectives?

A AI example which is based on a regenerative design and architecture system that allows the architect to create a solution to a design problem through limitations and objectives that we indicate. This software plays a participatory and active role in the invention of the form.

For example, we add requirements for functionalities, structures, manufacturing methods, types of materials, receipt of costs … etc. And the CAD program not only takes care of showing us the best option (for example, the cheapest) but also describes possible viable alternatives.

The AI learning ability It is huge, we can learn a little more on this YouTube channel, and also, if we use applications embedded in mobile phones where information is stored by users. Here technology is capable of collecting and analyzing habits in order to satisfy specific needs by users.

The architecture industry has been using parametric design based on artificial intelligence for years, creating models that you can adapt to multiple dimensions like the following parking …

Firms such as Zaha Hadid Architects and MAD Architects have become more than famous worldwide for their ability to control software logic It can create thousands of variations of a design based on a building's entrances facing sun exposure, views, or pedestrian movement.

Example of a project created with artificial intelligence by Zaha Hadid Architects' office at Mathematics: The Winton Gallery, the first permanent public museum exhibition by the famed studio.

Advantages and disadvantages artificial intelligence

We all agree that the collaboration between intelligent machines and humans will increase the skills of workers but … Won't it mean job losses? If we start to look at some serious reports on the subject, how the Capgemini document, gives us some interesting data on what advantages does artificial intelligence bring to their organizations:

  • Influence on sales. From 3 to 4 organizations that have implemented AI, they have achieved an increase in the sales of new products and services by more than 10%.
  • Boost in operations. 78% of organizations have increased their productivity efficiency by more than 10%.
  • Attractive to the customer. 75% of organizations that have used AI consider that customer satisfaction increased by more than 10%.
  • Idea generator. 79% of organizations believe they have generated new insights and improved analytics.

And from the perspective of boosting and improving sales through use of AI, the data returned are more than positive:

More customer satisfaction, more sales, more profits, means economic growth for companies that is correlated with an increase in the workforce, which is the case, but in reality there is a little short-term trick that can be a disadvantage for many users.

As we can see in the following graph, most of the positions that are being created right now are between managers and directors.

The answer to the graph is simple, highly qualified and trained professionals are needed to be able to work together with the AI. And of course, the top managers of any company are the first interested in training if they want to survive in this competitive world.

Obviously not everything is a benefit, we also verify disadvantages of virtual intelligence or risks to our work environment:

  • We will have more cyber crimes and information leaks.
  • We will have to be much more specialized and continuously trained.
  • They are technologies that are not cheap and that create dependence on external companies.
  • Difficulty finding errors within such a complex system.
  • Complexity when making changes.
  • Crashes between work-life balance and relationships between users - machines (They work 24 hours a day).

So as we move into the future artificial technological and permanently connected to the Internet, we should ask ourselves if there could be new ways of organizing professional work, new ways of sharing and producing practical knowledge in society, new ways of solving important problems that, traditionally, only professionals have solved.

The challenge for every architect will be to recognize this change in work activity and anticipate new tasks by developing the necessary skills that will be required.

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