Implementation of artificial intelligence in the field of design

Artificial intelligence algorithms are widely used in many areas of business: they help traders predict markets, banks fight fraud, and enterprises design complex mechanisms. But no less important is their role in the design industry.

Thanks to the development of AI, designers have been able to streamline routine tasks and focus on what matters most – creating impressive and “human” visual concepts.

For example, AI can easily remove the background of an image, generate a photo upon request, or give recommendations on how to improve the usability of the interface.

Of course, the possibilities of artificial intelligence are not limited to this, so in this article we decided to take a closer look at the main options for using it in UI / UX design.

By definition, artificial intelligence is a branch of computer science aimed at creating systems that work by analogy with the human brain. This means that AI does not just blindly execute algorithms, but is also capable of self-learning and even creating something new. Actually, this ability of his is also a serious cause for concern in the community of scientists, but now we are talking about something else.

AI is based on machine learning and deep learning – artificial intelligence is provided with a huge amount of disparate data that it analyzes, systematizes, and then uses to solve basic problems.

The design industry has never been conservative. On the contrary, professionals from this industry always positively perceive innovations, especially if they are able to facilitate their daily routine. Consider the main reasons why designers use AI in their work:

• Automation. Artificial intelligence can completely take over the preparation of documentation, photo and video processing, searching for the right images and other important tasks that take up hours of working time from specialists.
• Design improvement. When using AI-based tools, developers don’t have to spend hours analyzing tons of data and references to find ways to improve designs.

Artificial intelligence will do this job much faster and suggest optimization options.

• Continuous availability. Artificial intelligence always works with the same efficiency and does not need coffee breaks or weekends.
• Increasing conversions. AI-powered tools take into account the behavioral patterns of potential customers and offer solutions that positively affect the conversion rate.

Moving from theory to practice, we propose to talk about how artificial intelligence is used by design specialists. There are many options here, of which we have selected five main ones.

Content generation

Artificial intelligence is able to independently generate unique images, videos, coherent text and many other content. To get the result, the specialist just needs to enter the desired text query, after which the AI will offer hundreds of implementation options in a matter of seconds. This gives designers the opportunity to experiment with different styles and create impressive visuals with minimal resources.

There are many AI-based generative services on the market today, including DALL-E, GAN, and others.

Trend Prediction

Artificial intelligence algorithms can identify popular styles and design elements based on monitoring a huge number of different online resources: social media posts, websites, galleries and other sources. This gives designers the opportunity to stay on top of current trends and tailor their designs to market preferences.

Workflow optimization

When creating mockups, most of the designer’s time is spent on routine processes: selecting fonts and color palettes, processing photos, searching for stock images, creating moodboards, and so on. However, now specialists have the opportunity to delegate these tasks to artificial intelligence in order to free up their time for solving more important issues. As a result, the speed of creating effective designs has increased markedly.

User Experience Improvement

The visual environment of a website or mobile application should be not only attractive, but also user-friendly. And if the designer can easily navigate the interface that he himself created, then the end user may have difficulty with this.

To avoid usability problems, designers are increasingly using artificial intelligence-based tools that allow them to look at the mockup with a “fresh eye”, identify and fix weaknesses. In other words, AI uses common user behavior patterns and helps to conduct the most effective usability testing of projects.

Filling mockups with text

More recently, designers used “lorem ipsum”, which is also called “fish text”, to fill mockups with text. It does not carry a semantic load, due to which the perception and evaluation of the effectiveness of the design became much more complicated.

However, with the advent of ChatGPT, Bard AI and other similar tools, the situation has changed a lot. Such services are able to instantly generate meaningful text of the required length, fully relevant to the context of the page, which can be immediately copied and pasted into a mockup without wasting time. For example, you can create a product description, a company story, or a blog post this way.

The introduction of AI-based solutions will allow you to optimize many routine processes, as well as speed up and simplify the creation of attractive design mockups. In this way, you can free up the time of skilled designers and direct these resources to more important tasks.

The experience and expertise of our specialists allow us to create AI-based solutions of any complexity. During the development of the project, we carefully study the needs of customers, analyze the market and select unique solutions aimed at improving the efficiency of their business.