When you engage a human illustrator you naturally expect an original result, that’s a given, but did you know that when you ask AI to provide you with an illustration it will scan the its database and the internet (often called 'scraping') for images created by other illustrators? This means AI may not provide you with an original creative idea as the work belongs to other illustrators. We at Inky Thinking believe is unfair as the creator won’t be recognised for their work.

Unlike AI your human illustrator creates original solutions through a range of brain networks. The network responsible for creating novel ideas is called the associative network. It’s this network that enables your illustrator to produce random ideas as a response to your needs, whereas the normative network seeks to evaluate the ideas produced by the associative network.

You may have heard of divergent and convergent thinking too. We see this type of thinking when people come together to discuss and create solutions, especially in the context of innovation. When thinking divergently anything goes, and your illustrator will be considering a wide range of possibilities. Conversely, when thinking convergently, these ideas are narrowed down to solutions that are likely to be most suitable for the situation.

This is what your human illustrator will be doing when considering the needs for your creative project. AI can provide you with lots of data, but will it know how to converge to the solution that works best for you? The answer is no.

At Inky Thinking we generate original ideas, and we love the challenge of creating solutions that no-one expected. From data airships for a global software business to techno superheroes for an automotive leader, if you’re seeking a different way of communicating visually then human is definitely the way to go.

Next week, in our final post of this 8-part series, we will be investigating the human illustrator’s skill of delivering accurate and consistent work.

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