AI helps to overcome the fear of a “white slate” when a designer doesn’t know where to start. At the same time, some artists perceive the neural network as a potential competitor. For example, graphic designers experience more than UX and UI specialists. From the point of view of graphic design, the neural network produces exactly the result that the person request. For example, you can ask the AI ​​to draw an illustration of a child holding a bouquet of flowers, in the style of Manet. This will take five minutes. If a graphic designer were to do this, it would take him from a few hours to a whole day.

Will not be able to conduct research

Despite these advances, neural networks lack the Brazil Email List professional traits to rival interface designers. A person nes empathy and logical thinking in order to create convenient and functional websites, illustrations for the topic and context, and an identity that conveys brand values. The neural network does not focus on user convenience, it tries to select the most relevant image for the request. She will draw a mobile application for a bank, but she , collect a focus group, track conversion, determine what works and other, discuss how to bring the visual to the ideal, what the image lacks. The neural network is depriv of such an opportunity, it is impossible to enter into a dialogue with it.

Select references and look for new ideas

AI cannot ignore the command, argue with the designer Buy Email List argue why she drew this way, build the result depending on the context. It is important to note that the results of generating neural networks ne to be it and controll. It is almost impossible to get the perfect final result the first time. If the program cannot create an adequate image, the designer must refine it. In general, neural networks can solve the following problems for inspiration; create visual concepts and sketches with boundless imagination; work quickly and save the designer’s time, relieve him of routine tasks.