Artificial Intelligence (AI) is transforming many aspects of our lives and businesses, and art and design are no different. In this post we look at the role AI will play in art and design and explore its role in enhancing human creativity as well as autonomous machine creativity.

1. 3 Predictions For The Role
Art And Design
Of Artificial Intelligence In

2. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
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Text
IntroductionIntroduction
Artificial Intelligence (AI) is transforming many aspects of our lives and businesses, and
art and design are no different. In this post we look at the role AI will play in art and
design and explore its role in enhancing human creativity as well as autonomous
machine creativity.
Christie’s made the headlines in 2018 when it became the first auction house to sell a
painting created by AI. The painting, named Portrait of Edmond de Belamy, ended up
selling for a cool $432,500, but more importantly, it demonstrated how intelligent
machines are now perfectly capable of creating artwork.
3 Predictions For The Role Of Artificial
Intelligence In Art And Design

3. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Title
Text
IntroductionIntroduction
It was only a matter of time, I suppose. Thanks to AI, machines have been able to learn
more and more human functions, including the ability to “see” (think facial recognition
technology), speak and write (chatbots being a prime example). Learning to create is a
logical step on from mastering the basic human abilities. But will intelligent machines
really rival humans’ remarkable capacity for creativity and design?
To answer that question, here are my top three predictions for the role of AI in art and
design.
3 Predictions For The Role Of Artificial
Intelligence In Art And Design

4. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
1. Machines will be used to enhance human
creativity (enhance being the key word)
Until we can fully understand the brain’s creative thought processes, it’s unlikely machines
will learn to replicate them. As yet, there’s still much we don’t understand about human
creativity. Those inspired ideas that pop into our brain seemingly out of nowhere. The
“eureka!” moments of clarity that stop us in our tracks. Much of that thought process
remains a mystery, which makes it difficult to replicate the same creative spark in
machines.
Typically, then, machines have to be “told” what to create before they can produce the
desired end result. The AI painting that sold at auction? It was created by an algorithm
that had been trained on 15,000 pre-20th century portraits, and was programmed to
compare its own work with those paintings.
The takeaway from this is that AI will largely be used to enhance human creativity, not
replicate or replace it – a process known as “co-creativity." As an example of AI improving
the creative process, IBM's Watson AI platform was used to create the first-ever AI-
generated movie trailer, for the horror film Morgan. Watson analyzed visuals, sound, and
composition from hundreds of other horror movie trailers before selecting appropriate
scenes from Morgan for human editors to compile into a trailer. This reduced a process
that usually takes weeks down to one day.

5. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
2. AI could help to overcome the limits of human
creativity
Humans may excel at making sophisticated decisions and pulling ideas seemingly out of
thin air, but human creativity does have its limitations. Most notably, we’re not great at
producing a vast number of possible options and ideas to choose from. In fact, as a
species, we tend to get overwhelmed and less decisive the more options we’re faced with!
This is a problem for creativity because, as American chemist Linus Pauling – the only
person to have won two unshared Nobel Prizes – put it, “You can’t have good ideas unless
you have lots of ideas.” This is where AI can be of huge benefit.
Intelligent machines have no problem coming up with infinite possible solutions and
permutations, and then narrowing the field down to the most suitable options – the ones
that best fit the human creative’s “vision”. In this way, machines could help us come up
with new creative solutions that we couldn’t possibly have come up with on our own.
For example, award-winning choreographer Wayne McGregor has collaborated with
Google Arts & Culture Lab to come up with new, AI-driven choreography. An AI algorithm
was trained on thousands of hours of McGregor’s videos, spanning 25 years of his career –
and as a result, the program came up with 400,000 McGregor-like sequences. In
McGregor’s words, the tool “gives you all of these new possibilities you couldn’t have
imagined.”

6. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
3. Generative design is one area to watch
Much like in the creative arts, the world of design will likely shift towards greater
collaboration between humans and AI. This brings us to generative design – a cutting-
edge field that uses intelligent software to enhance the work of human designers and
engineers.
Very simply, the human designer inputs their design goals, specifications, and other
requirements, and the software takes over to explore all possible designs that meet those
criteria. Generative design could be utterly transformative for many industries, including
architecture, construction, engineering, manufacturing, and consumer product design.
In one exciting example of generative design, renowned designer Philippe Starck
collaborated with software company Autodesk to create a new chair design. Starck and his
team set out the overarching vision for the chair and fed the AI system questions like, "Do
you know how we can rest our bodies using the least amount of material?" From there,
the software came up with multiple suitable designs to choose from. The final design – an
award-winning chair named "AI" – debuted at Milan Design Week in 2019.

7. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
3. Generative design is one area to watch
Machine co-creativity is just one of 25 technology trends that I believe will transform our
society. Read more about these key trends – including plenty of real-world examples – in
my books, Tech Trends in Practice: The 25 Technologies That Are Driving The 4th Industrial
Revolution and The Intelligence Revolution: Transforming Your Business With AI.

8. Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2020 Bernard Marr , Bernard Marr & Co. All rights reserved© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website

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