AI products have started entering our era quicker than we could imagine. Artificial intelligence has found its place in different industries. From spam filters to autopilots in airplanes – AI surrounds us and impacts even the most unexpected aspects of our lives.
UI/UX design is not an exception. Entering this industry it has given birth to the concept of Artificial Intelligence Design.
Wired magazine calls this AI-Driven Design while others name it Algorithm-Driven Design. However, there are also those who call it Design Intelligence. Despite its numerous names, essentially, it means the same – non-human intelligence capable of generating creative results that seem genuine to the human eye.
“Surrounded by misconceptions and questions regarding its purpose and power, apart from its known ethical and philosophical challenges, AI can be the catalyst for great user experiences”– Joël van Bodegraven, Product Designer at Adyen.
Indeed, AI continues to open new opportunities for us as creators. AI-driven user experiences and interfaces are the future, knocking our doors today. However, we’re still very early on.
According to Tim Urban from waitbutwhy.com, there are three levels of artificial development:
Here’s a trick question. What will happen when AI reaches the third level of its development? Will it be a harmonious human-machine interaction making it easier for us to create exciting and even emotionally intelligent user experiences? Or will people lose their jobs simply because machines will replace them? Everyone would prefer the first option, however, at this stage, it’s anyone’s guess..
We’re not saying that a machine will become self-aware and realize that humans stand in its way like the Skynet in the Terminator movie. However, it’s not so crazy to say that many AI may steal UI/UX design jobs in the feature. There are two sides of the coin when discussing why AI is a friend or foe for designers.
AI systems can create a deeper connection between brands and their audiences, hence enhancing their relationship. Artificial intelligence can help us collect and analyze Avast amount of data to design the products able to satisfy human needs and wants.
Artificial intelligence is changing the way consumers and companies think about user experiences. AI offers more innovative insights, more intimate engagement, more specific contexts, faster processing, and more intuitive interfaces. AI personalizes user interfaces to be targeted at the individual’s preferences, challenges conventional interactions, and adds new channels such as voice.
Robots will be stealing a portion of jobs currently occupied by humans. How is artificial intelligence going to affect particularly design and app development careers in the long term?
Robots are not replacing designers and mobile app developers, at east not in the near future. Or, maybe, do you know how to convince 7 billion humans to trust a decision made by an algorithm? Well, we don’t.
Humans have a unique ability to set the context for our design and create empathy for other users.
At its heart, AI-driven design is a brand new level of relationship between AI and customer experience. Machine learning-based user experiences are incredible playgrounds for UX designers. They are a challenging combination of technology and people that promises to move UX design to a new level of seamless digital experience.
Imagine AI behind the scenes of UX design. It can help enhance the user experience by delivering automatic and intuitive responses to user requests. AI has the ability to create numerous design variations to respond to users shortly. Utilizing the information derived to revise user behaviors, AI-based algorithms can simplify the process of improvised user experience.
The benefits of AI go even deeper. If we use AI in UX design more often, it’ll free up more “headspace” and prevent the user from being overwhelmed with voice commands, gestures or buttons.
According to the results of a recent survey conducted by Adobe, 62% of designers are interested in artificial intelligence and the benefits it can add to the creative process. AI and machine learning promise to make a “democratizing effect on creativity” in applications and products.