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Artificial Intelligence Driven Design
30 January 2020

Artificial Intelligence Driven Design

Technology has always been the driving force of the great inventions and breakthroughs in the history of mankind. As creators, we currently live in one of the most exciting eras, where technological progress is constantly taking huge steps forward. But it is the development of artificial intelligence that is one of the most anticipated technological developments.

Nowadays, artificial intelligence is the main topic of discussion based on misconceptions and endless questions about the goals and consequences of creating AI. In addition to existing ethical and philosophical problems, artificial intelligence can become a catalyst for newer and more complex issues. This chapter provides a brief description of what AI represents at the moment and what is its role in the field of design.

AI will undoubtedly become the foundation of the user experience of the future.Therefore, this is a great opportunity to study all the subtleties and contradictions of artificial intelligence.

What the artificial Intelligence is ?

Artificial Intelligence (AI) has many different definitions. Although most people (who are not really familiar with AI) think this is a completely new technology, in fact, artificial intelligence emerged back in the 1950s.

Over the years, AI has been actively developed in the gaming industry and manufacturing, and now quietly became part of every person’s life and received the necessary development, funding and interest. If you google artificial intelligence, you find many articles and scenarios for the future development of AI, starting with stories about its widespread adoption and ending with the uprising of machines. But the fact is that artificial intelligence is still very far from the human mind.

According to the theory of Chris Nossel there are three types of AI

Narrow Artificial Intelligence
Narrow Artificial Intelligence: intelligence is focused on a narrow field of knowledge. This means that he can learn and draw conclusions, but not generalize.
General intelligence
General intelligence: is more independent and also has ability to understand meaning in the context.
Super intelligence
Super intelligence: able to surpass human intelligence. While the AI ​​is still far enough from achieving super intelligence, he is getting better and better when performing narrowly assigned tasks.

The main characteristics of AI

AI is pretty much based on data
AI is pretty much based on data.
AI capabilities are evolving in the process of studying
AI capabilities are evolving in the process of studying.
AI is limited with specific field of knowledge
AI is limited with specific field of knowledge.
AI is still evolving
AI is still evolving.

1. AI is pretty much based on data.

Data is vital to AI development. Artificial intelligence simply cannot exist without data. But this leads to a lot of controversy around the data collection process, it is the development community that has a huge responsibility for how this data will be used.

2. AI capabilities are evolving in the process of studying.

AI learns and improves in the process of functioning, and not in the programming process. Artificial intelligence learns from our own experience and mistakes. The more AI performs a certain task, the better. 3. AI is limited with specific field of knowledge.

AI is good at performing specific tasks. Revealing patterns and finding correlations, for example. 4. AI is still evolving.

As mentioned earlier, AI has many designations. From limited intelligence to super developed. This means that the value of AI will change as much as this technology will develop..

Changing attitudes towards Technology

Changing attitudes towards Technology

Artificial intelligence had a destructive effect on the technical level, but also gained great importance in society. Our attitude and interaction with AI changes as the technology develops itself. In fact, AI is everywhere. In our phones, houses, watches and even in our cars. The advent of AI has made many changes into our relationship with technology. Before, we used to do most of the tasks on our own, today we have the opportunity to voice the command to a smart assistant who will complete it for us. AI products, such as Google Home, for example, are actively involved in our lives and have already managed to significantly affect our perception. Noticeable changes have occurred, and products such as Google Home takes a more prominent place in our daily routine. AI-oriented products have become more popular, and people use them more often than ever before.

Interaction methods have also undergone changes. Google Home owners, for example, often use AI as part of their daily lives. Recently Google conducted research in where people who own smart speakers took part. As it turned out, Google Home made life easier for Google Home users because technology allows them to be more multitasking. And most interestingly, people interact with their speakers like it is a person. Users get used to say please, thank you, and even I'm sorry. The following observations show exciting development of communication and interaction between people and smart devices .

Where are the owners of Google Home use their AI-driven products ?

Where are the owners of Google Home use their AI-driven products

22% Kitchen
52% Common Areas
23% Bedroom

Where are the owners of Google Home use their AI driven products

72% of smart speakers users claim to use devices in their daily life.

Ethical issues

The development of services or products based on AI technology is directly related to many ethical issues. Since AI creation much has been said and written about the potential dangers of using AI. Chris Duffy, Head of Strategy & Innovation AI at Adobe, expressed an interesting point. He said: "Technology is not bad and not good, it is a natural reflection of the person who creates it."

This statement clearly indicates that it is the creators of AI who bear the main responsibility for their creation. The foundation of AI technology development is trust. Because the development of AI depends on the data. Without data AI will not be able to develop and improve. Ethics is a growing problem in the technology development industry and It is no coincidence, because most of the user data more than once was used for other purposes due to the low level of security.

Data storage is one of the most global ethical issues which we, as a community of creators, must decide.

Ethical Issues of AI

Ethical Issues of AI

Data placement
Data placement.
Lack of transparency and the control
Lack of transparency and the control.
Alienation of human opportunities
Alienation of human opportunities.

Placement of data.

During the existence of AI, there has been a lot of mistrust among users of artificial intelligence. So much skeptic attitude has arisen because of illegal use of data that has been provided for research. As a result, it is precisely distrust that can stand in the way of the development of AI.


“I have nothing to hide,” a statement you may have heard before from most people when they were asked about data sharing and privacy. But the opinion has changed since the moment when user data has been widely used by companies such as Cambridge Analytica.

Lack of transparency and the control.

AI results are often perceived as a black box because research mechanisms are too complex or not known at all. Users will receive content based on their own templates without a clear understanding of how and why. But on the other hand, research shows that users value transparency and control. They like to control and understand the results / actions that comes from the services and products that the AI ​​manages.

Alienation of human opportunities

There is a significant risk of alienation of human capabilities. More and more users are abandoning primary knowledge and skills in favor of delegation. But the more we delegate AI, the less we learn

Using AI in design

As creators, we are constantly looking for ways of new products and services creation. Artificial Intelligence changes as people use our products and affect the entire design process. The possibilities of using AI are limitless and have the abilities lead to experience that has not yet existed. However, we are still at the stage of narrow AI, this means that AI is currently only useful in performing specific tasks. It also follows that AI-based products and services can empower designers in a certain way. Some of design and artificial intelligence experts are exploring the best ways to use AI in design. What needs to be focused on, what principles to follow and what ethical standards to apply.

Using AI in design

How AI can be useful in the process of creativity?

Although the technology has already automated and significantly changed most of our work. But our main mission has remained unchanged - we will continue strive to improve user experience.Experience Design is the perfect field for applying artificial intelligence. In addition to automating tasks, it can also help create a new level of user experience. Artificial intelligence supports the creative process in many ways:

Project support

Creativity is still a field of human capabilities. However, AI can do some work to optimize development process. It can be useful for various studies, data collection or even more creative tasks. Color correction or cropping photos can be one of those tasks that can be delegated to AI. While only people can do more creative tasks because they require emotional intelligence - empathy. For example, Adobe uses its own artificial intelligence Sensei, which helps to increase the effectiveness of designers. The stitch tool finds patterns in images, which helps designers adjust or reconstruct the photo. Airbnb even developed AI capable of recognizing paper sketches and instantly turn them into code.

Personalization of user experience

What makes us intelligent beings is our ability to learn. Developing AI, we are trying to study the mechanism of human intelligence and implement it in machines to make interaction more meaningful and personalized. The data points that feed this technology are growing rapidly, in part due to the proliferation of smart technologies (i.e., the Internet of things). Given all these factors, AI can become a mechanism for user experience determining and optimizing the for each person.

Design system

AI has no equal in the field of detecting patterns, which can be extremely useful for the design system. More and more companies are trusting AI to take care of their systems. So AI can even ultimately predict which pattern works best based on all user data received.

Promotion of creativity

AI can help you recognize design patterns, but can also help you design. Artists, creators and developers apply a variety of artificial intelligence technologies to users could be as creative as they want. We have Prismo or Auto Draw as an example. The main feature of these tools is that people with less creativity can also give free rein to their imagination.

Now that we’ve explored the various tasks that AI can perform, let's look at how we can take advantage of these in the design process

Principles of AI implementation

Principles of AI implementation

Technology will continue to evolve and will continue change our lives in ways that we cannot even imagine. how creative community, we are shaping what AI will become in the future. We are laying the foundation for something that can be truly great. But we also risk setting the stage for something that might not turn out to be in our favor.

We have the opportunity shape the future because we are at the dawn an AI era.

Therefore, instead of focusing on the negative extremes of AI development, let's find out how we can work with AI and how we can popularize this technology for the good. The principles of AI implementation are an open question for many professionals because AI is still in the process of development. The following principles were based on expert opinions and focused on the concept of improving the user interface .

1 Minimal effort maximum result

Modern people are tired of making decisions what leads to reducing of their quality. Every day we get a lot of notifications, messages and questions that require answers and actions. By doing the dirty work for you, AI will help you focus on more priority tasks. Just think how much affairs you can delegate to applications and devices with AI. Nest was one of the first companies which simplified your daily routine by setting the optimal temperature in the house. Uber made the taxi order extremely comfortable by removing the intermediary. Google Artificial Intelligence speeds up the correspondence process by offering automatic responses.

The bottom line is to solve human problems with minimal user involvement.

Uber minimized worries by making the taxi call almost automatic, setting a landing place and letting customers pay for each trip separately. Google AI analyzes mood user based on the content of the received letter, and offers several possible answers.

2 Friendly interface

Naima van Ash, UX Design Specialist at Deloitte Digital has been researching development principles AI-enabled user interfaces One of the most important points is the principle of “forgiveness”. Because there are always a place for mistakes.

There are several effective strategies. One of the most effective, is the users oppurtunity to give feedback. On Netflix you can leave feedback not only with the help of like, but also with dislike as well. Blendle allows users to leave feedback for each article. Followed by a promise improve the following material according provided feedback.

Blendle provides an opportunity for users to give feedback, so the algorithm can determine which article was better. The red heart is a positive trigger, and the link below allows you to leave a negative review.

Netflix uses the thumbs up or down as a tool for feedback.

3 The mechanism of trust

Data is a key tool in AI development. While for the user this is personal, and sometimes confidential information. Consequently, it is important that the interface with the AI ​​is built on the trust of the user. This can be achieved by providing honest and transparent information about how user data will be used. The issue of control and data storage has become the number one topic after the Cambridge Analytica scandal and Russian conspiracy in the US election. These precedents have made people more attentive and sometimes extremely negatively inclined towards data exchange.

Build trust by creating healthy relationships based on transparency and honesty.

Blendle is one of most transparent companies and tells you openly on what data your content selection is based on. (example: “TECH - because you read about it often").

Netflix creates transparency by adding argument in parallel with suggested content. (example: “Because you watched Orange is new black").

The above examples use a specific scenario. Within each company, an ethical and transparent data policy should be at the core of each product or service using AI.

4 Humanization of interaction

Given how fast our interactions with AI are changing, the value of the individual is gradually increasing. Recent User Interaction Studies with Google Home showed one unique pattern. people talked to a smart speaker as a person. After voicing a voice command, users often spoke “Thank you” or “sorry”. This observation reveals the potential for developing relationships. between man and AI

Artificial intelligence that has a personality fosters a radically new user experience quality level.

The movies “She” and “Ex Machina” are studying and demonstrating this concept by showing how a person with AI can affect a person. Both stories are fiction, but able to excite your imagination .

5 Reducing the number of options

Considering the modern experience of interaction with AI, it is clear that UX has so many options. To activate the application you could use voice commands, gestures or buttons. But now, AI will initiate interaction with you, and not vice versa. In a world of infinite information, users have no opportunity for reflection.

Create an effective design reducing the amount of unnecessary decisions.

Design one step ahead to create free space for users.

Google introduces the concept of reduction ithe options quantity. Thanks to the new ‘slices’ feature users get a predicted action based on an analysis of their past behavior. Apple introduces a similar concept in its future update in iOS 12.

Clock Creative Lab AI

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