If we talk about creative artificial intelligence, is the outcome more important than how the machine learned? Experts from Aalto University and the University of Helsinki handled this question by conducting experiments involving robots that draw just like humans do.
It turns out that the result surprised many. Observing every part of the drawing process, from marking on paper to the robot, made people consistently think that the art made by AI was more creative. As a result, we now pay attention to both the achievements and the hard work put in by AI models.
🤖 Does the Robot’s Design Shape Our Opinion?
Some people might assume that a robot’s appearance can shape our idea of how creative it is. Yet, to find out if looks made a difference, the study compared a streamlined robotic arm with a basic plotter robot.
From the research findings, one could see that robot aesthetics did not affect how people evaluated creativity in the drawings. As a result, older ideas about design bias are proven wrong and it appears that what society sees of the design process is more influential than the look of robots.
🎨 Why Perception of AI Creativity Matters
Learning about people’s reactions to AI-made art impacts the growth and development of AI systems that focus on creativity. Since more transparency during creative work can make people think designs are more creative, tools and platforms used in both fields should focus on these factors.
Also, this raises some ethical issues. Could we, for example, broaden AI’s creative reputation by sharing more of its working steps, since the essential intelligence hasn’t improved? Researchers caution that while this approach can foster engagement, it could also mislead users about what AI is truly capable of.
🧩 Redefining Creativity—For Both AI and Humans
The main reason the research is so important is what it tells us about ourselves. Is what we observe in AI making us review our views on human creativity as well?
The finding makes it possible to explore in greater detail the biased nature of creativity assessments. Since AI tools in creativity are being used more often, we should recognize that much of what is seen as creative comes from the environment and how the thing is presented.
Source:
Neurosciencenews