In this article, we will take stock of this technological advance and you will discover how to apply it in a Design Thinking approach .
In this illustration, the representation of AI in UX design.
Artificial Intelligence, a new era
We are facing a new era, a historical moment in which everyone is free to choose their position: spectator or actor . This new breath of fresh air already raises many questions and concerns. Perhaps you have already heard this phrase: " AI will not replace you but the person using AI will " (artificial intelligence will not replace you at work but someone who uses it will).
At Adimeo, we believe that artificial intelligence will not replace humans but will, on the contrary, allow them to lighten their heaviest or most tedious tasks so that they become more effective and efficient .
However, faced with the surplus of information and all the office 365 database AIs on offer, how can we not lose our heads, which ones to choose and how to use them wisely?
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Discovering Artificial Intelligence
Let's first go back to the beginnings of artificial intelligence, which began in 1950 with the creation of the first neural computer. In 1959, the term " Machine Learning " came into being, giving computers the ability to learn from data. Algorithms learn autonomously to perform a particular task. Closely followed by " Deep learning " in 1989, with the use of neural networks that ingest data and make decisions. Algorithms become capable of imitating human behavior. And it was in 1997 when the machine beat the world chess champion Gary Kasparov that it marked a real turning point in the history of AI!
A toolbox
The most widely used artificial intelligence today is the so-called "weak" one, which is similar to a toolbox. It is a system capable of performing a single task almost perfectly without human supervision.
In the toolbox example, each plays its own role. The human is in control and decides how to use and regulate the tool he is using. He can set about using a hammer that will drive much better than his fist but that cannot magically transform into a drill. Each AI has its own function for which it was designed.
The different types of Artificial Intelligence
Artificial intelligence has been part of our daily lives for some time now and comes in different forms that could be classified into three categories :
Recommendations : Algorithms offer personalized content based on user preferences. Examples include: Amazon, Netflix, Twitter, etc.
Chatbot & Virtual Assistants : Thanks to the integration of AI, these conversational interfaces gain in performance. For example, you have: Alexa, Siri, chatbots on websites, etc.
Facial recognition : uses several technologies to analyze a person's face in order to identify them. This AI is present, for example, on social networks, photo sharing applications, etc.
Generative Artificial Intelligence
The one that has been much talked about in recent years is generative artificial intelligence, which allows the creation of content independently. Unlike previous AIs that focus their tasks on problem solving, classification or prediction, this one was designed with the aim of producing data that resembles that created by humans, whether in the form of text, images, videos or music. It aims to reproduce human cognitive capacity in a versatile and global way.
Generative artificial intelligence is split into two categories :
Text AI that is able to generate text in response to prompts, with tools like: ChatGPT , Gemini , etc.
Multimedia AI that generates, via a prompt, images, videos or even music, with for example tools such as DALL-E (images), Midjourney (images), Stable Diffusion (images), Lumen5 (video), Beatoven (music), etc.
Photo example generated by DALL-E (Meeting between AI and UX).Example photo generated by Dall-E
In order to use these tools as efficiently as possible, however, a few key points must be respected to obtain consistent results:
Set and establish a context with as much information as possible;
Be directive in your prompt formulations;
Get to the point ;
Favor the paid version of ChatGPT as much as possible , which allows access to more advanced features and provides personalized content according to your profile type.
Thanks to this, these tools will prove to be real time-saving levers !
When AI meets Design Thinking
The Nielsen Norman Group Design Thinking methodology has 6 phases. In the context of artificial intelligence tools, we will restrict them and focus more specifically on 5 phases: empathy, define, ideation, prototype and test . We will leave aside the last phase of implementation.
