Venture into the captivating world of AI-driven image generation with our blog series. As we delve into the realm of Generative Adversarial Networks (GANs) and other cutting-edge algorithms, discover how artificial intelligence is reshaping the landscape of visual content creation. From realistic image synthesis to artistic exploration, these articles aim to unravel the transformative impact of AI on pushing the boundaries of creativity and innovation in the field of digital imagery. Whether you are an enthusiast, a creative professional, or simply curious about the future of visual arts, join us in exploring the fascinating synergy between AI and image generation.
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Artificial intelligence (AI) is essentially trained to be correct. 
Humans feed it with dozens of examples from real life in order to make the AI respond or act as a superhuman.
Benedikte Wallace wanted to explore the use of AI in dance. 
In her research, she spent more than a year collecting human dance examples and feeding them into the computer. Around 30 dancers stopped by the recording room and improvised to music before the AI received hundreds of snapshots from their performances.
In this way, the AI should learn to dance – as lines on a screen.
“About halfway through the degree, I finally had something that looked like human dance. However, I then found that the examples the dancers preferred, were the ones where the AI made mistakes,” Wallace says.
She recently completed her PhD at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo.
All of a sudden, she had a discovery that could reveal more about the usefulness of AI in creative professions.
“The dancers didn’t necessarily want a perfect copy of a human dancer. They wanted to be surprised: To see something that isn’t human,” Wallace says.
The movements that created excitement were often the strange ones – an arm that stretched to a length of three metres or curled into a small ball. 
Arms and legs bending in impossible angles were also popular.
“The dancers started asking themselves how they could transfer such movements to their own bodies,” she says. 
The phenomenon is not entirely new. There are several examples of the use of such absurd prompts to initiate creative processes.
In 1975, musician Brian Eno and multimedia artist Peter Schmidt published their Oblique Strategies: A deck of cards where each card offered a so-called aphorism, for instance a sentence or a quote that should help artists break creative blocks.
“In research on inspiration and creativity, we often see this come up. If you are surprised or challenged, this can have a positive effect on inspiration, motivation, and problem solving,” Wallace says. 
Using AI in this way is still out of the ordinary, according to the researcher. 
“If an AI forecasts the weather for tomorrow, you don’t want it to tell you something impossible. However, my results indicate that we have to think differently if we are to use AI in creative practices. Perhaps we need to explore the unreal, that is, behaviour that can only come from something not human,” she says. 
In the further exploration of AI and creative professions, Wallace believes it may be wise to rethink methodologies.
“In any case, we must work closely with the intended users,” she says.
In her own project, the dancers started trying out the AI after she had fed all data into it. She had been working hard to make the machine’s dance look realistic.
“If I had started in the opposite end, by talking to the dancers about what they wanted, the project probably would have taken a different direction,” Wallace says.
In the future, Wallace believes that creative professions will use AI in various ways.
“Today, there are still technical obstacles. When it comes to dance, the machine cannot generate this immediately – it requires a lot of data processing. If you’re on stage, 10 seconds is a very long wait,” she says.
However, processing speed will increase. Eventually, it may become possible for dancers to use an app on their cell phone.
“At that point, I believe we will get to see some pretty cool collaborations between AI and humans,” she says. 
We might see other types of performances, for instance dancers’ movements being fed into the AI in real time while the AI immediately responds, she suggests.
“However, coming from the research side, I will always be a little behind. When these things are super accessible and easy to use – for anyone – unpredictable things will happen. It is not until then that we will know which role AI ends up getting in the world of art,” Wallace concludes.
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