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Machines might not be ready to replace humans just yet, but there's no escaping the fact that they're playing a growing role in certain fields. Design is one of them.

The sector is changing rapidly with the advent of so-called "generative" artificial intelligence, which designs objects based on textual descriptions.

This technology allows anyone to slip into the shoes of a designer and imagine products that could become part of our daily lives.

Eric Groza has tried his hand at this. The Dubai-based creative director decided to entrust the design of a fictional collaboration between the Swedish furniture giant Ikea and the California-based outdoor clothing brand Patagonia, to Midjourney, an artificial intelligence image generation programme.

He shared the results of his experiment on LinkedIn, in a post that spurred nearly 43,000 reactions. It features fictive creations such as camping chairs, an outdoor sofa and lamps that combine the visual identities of the two companies.

To come up with this capsule collection, Groza launched the generation of 200 different images in Midjourney. In the end, he selected just eight that he believes illustrate both brands' commitment to sustainability and environmental protection.

"For Ikea (this collaboration) would push the boundaries of their furniture to a new frontier. For Patagonia, it would showcase how their sustainable multifunctional comfort can be used indoors as well," he explained.

But creating this imaginary collection was not so straight-forward for the creative director. The first images generated by Midjourney were not very convincing because Groza had not yet mastered the art of the prompt, ie, the ability to formulate instructions sent to the artificial intelligence tool to enable it to create a visual from scratch.

The image generation software that has flooded onto the Internet in recent months, including DALL-E 2, Imagen, DreamBooth and Stable Diffusion, works on the basis of keywords and textual descriptions.

They use language understanding and learning models on very large amounts of data to design images from any written request.

But you still have to know how to formulate these requests correctly. And that's exactly where the challenge lies in using generative artificial intelligence.

Progress that raises questions

However, once the right prompt is found, the machine does all the work.

"Its magic, but requires someone at the controls to hold its hand," said Groza. The images of the Ikea/Pantagonia collaboration quickly went viral on the professional social network, where they drew mixed reactions.

Some praised the technological feat, while others objected to the use of image-generating software in the design industry. The latter fear that some of the work usually done by designers will be delegated to AI, a concern shared by many professionals in the creative industries.

The design industry has been grappling with these questions for years, even if generative artificial intelligence programmes are relatively recent.

In 2018, the US software company Autodesk began offering an "iterative design" service within its Netfabb Ultimate product design software.

Here, the user specifies requirements such as the material used or the production method, which the machine then takes into consideration to come up with ideas.

The user can then choose from the options available, or adapt the request until the desired result is obtained.

At the time, Jean-Louis Frechin, president of the Paris-based design agency NoDesign, said that the arrival of such tools would lead to a rethinking of the role of designers.

"This is an important evolution and design must seize this technology, because we don't see great human progress without new tools," he told the French financial newspaper Les Echos.

"The only danger is that engineers may imagine that they can model the creation with this always lingering idea of getting rid of designers."

Artificial intelligence is already being used to design many objects. Nasa researchers have used it to design optimised parts for various projects, including the Mars Sample Return space mission, which will bring back to Earth soil samples taken from the Red Planet by the Perseverance rover.

These metal structures have the advantage of being much lighter than those usually designed by humans and of supporting higher structural loads. They are also designed much more quickly, which significantly reduces manufacturing time.

"You can perform the design, analysis and fabrication of a prototype part, and have it in hand in as little as one week," explains Ryan McClelland, a research engineer at the Goddard Space Flight Center, in a statement. "It can be radically fast compared with how were used to working."

But, make no mistake, the designer's expertise remains essential to achieving a satisfactory final result.

"Human intuition knows what looks right, but left to itself, the algorithm can sometimes make structures too thin," said M. McClelland.

He adds: "The algorithms do need a human eye." AFP Relaxnews

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