Predictions For The Role Of AI In Art And Design
Machine will be used to amplify Human Innovation
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 inspiring ideas that pop into our brain seemingly out of nowhere. Typically, then, machines have to be “told” what to Create before they can produce the desired end results. The AI painting that sold at auction? It was created by an algorithms that had been trained on 15,000 pre-20th century portraits, and was programmed to compare its own work with those painting. 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.”
AI could help to conquer the limits of Human Innovation
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. 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”.
Productive design is one region to watch
Much like in the creative art, 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 products design.