Artificial Intelligence: Future of Assisted Web Design Or a Fad
Future graphic designers will perfect more websites than they will create. They will fix sites created by AI programs. Moreover, if advances in AI technology continues at the current pace, web designing as a job will extinct from the job markets
Web developers shouldn’t worry about their jobs though. As machines will start producing websites at the industrial rate, quality analysis and control teams will have a more significant role to pay. They will have more websites to test than ever and more strict quality guidelines to maintain. As a result, a web app development company will hire more QA/QC professionals.
In a way, AI will create more jobs than it will replace. Web designers don’t need to panic as long as they are okay with a slight change in their job role.
Now the question arises, how will AI machines and programs create unique, humanly websites as per the client’s recommendation? There are many factors, skills, and abilities that set the fate of AI web building system in the real world.
With cognitive abilities, machines can create designs too. The design is just a figment of an artist’s imagination, which he draws from his surrounding—what he sees and listens–and is a direct outcome of his social and mental state.
Machines today can see and listen too. They can perceive their environment with the help of sensors and things (Internet of things) and, thus, can stimulate imagination and use it to its advantages to create beautiful websites graphics. Also, a machine connected to the internet has access to the same pool of reference designs a human has.
So, when you assign to create a graphic of flying car to put in a website, the machine already knows, thanks to machine learning, what a car looks like and what wings are for in an airplane. It can look up the internet for a car and a plane. It will then combine those two assisted by bright image processing algorithm to create a flying car.
A significant difference between a dumb program and a smart algorithm is that the dumb program will trigger the same sequence of events, regardless of the context. If it’s asked to fill in a graphic with red, it will fill it with red. A smart algorithm, on the other hand, is contextually aware. That is, it is mindful of the entire web design and its theme. It will fill the graphic with a suitable shade of red, not just any red. It will pick a shade that suits the context better and goes well with the final web design. In fact, a smart algorithm in an AI engine will suggest an entirely new color if it thinks red doesn’t fit in the plan. It is all possible because of the cognitive abilities showcased by AI systems.
Once the designer is confident of the machine’s ability to match colors, a web developer can ask it to make the color correction on an entire batch of graphics to be placed in web design.
Batch processes will save a lot of graphic designers’ time. Designers can use the spare time to come up with new ideas–something machines and programs are entirely incapable of yet.
Context awareness will also play an essential role in the event the written text, and graphic below it is out of context in web design. It can fix the graphics according to the text or vice-a-versa.
Design inconsistency is one of the biggest reasons of a website’s failure. The problem is some discrepancies are so subtle that they don’t catch the attention of the designer but will ultimately hinder with the user experience.
Machines are much more capable than humans in detecting asymmetries in computer graphics. Modern AI programs can not only identify asymmetries but also can fix them in web design or computer graphics. If the picture of the human face in a website has his nose displaced, AI can detect that in seconds because of cognitive abilities. It will flag it as asymmetric and will fix the nose using a combination of machine learning and context awareness skills.
Modern AI algorithms can tell the differences between an image from another, no matter how subtle the difference in the pictures is. Images are made up of tiny pixels. Each pixel constitutes its property and is conspicuous in creating the final piece of graphic. A program although can’t see an image as a human does, it can read pixels and can tell the difference between two pixels.
If you show it a dozen pictures of apples, it will read the pixels on each image and try to find a pattern. Once a model is established, it can use it to see any untitled picture that has an apple in it.
Likewise, AI systems can be trained to find patterns in similar websites. For example, every search engine has a search bar, and every flight booking website has flight booking form. AI can look for these HTML blocks to tell a search engine website from a flight booking website.
Now suppose you have created a flight booking website but forgot to add ‘round trip’ radio button. An AI system will remind you faster than a human that the ‘round trip’ button is missing on the website.
With the help of self-learning algorithms, AI would soon be able to create entire websites. No need to buy a WordPress theme or write an endless amount of coding. For example, if a business wants to build a website to compare flight ticket rates, it can train its AI system in making flight-comparison websites in few simple steps.
The business will feed the AI system with the links of top flight-comparison websites. The AI program will go through every website on the list and will try to find a pattern. Once the design is established, it will update the algorithm to the design and mark it as ‘flight comparison websites’ skill.
With the help of the new skills, it can now create unique flight-comparison websites at an industrial rate.
In a nutshell, the program will first find a pattern in the samples, update the pattern as a skill, and recreate the pattern in different variations to create unique websites.