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AI and Creativity - Quo Vadis

Posted: Sat Jan 25, 2025 8:30 am
by suchona.kani.z
Just a few years ago, the question of which professional groups cannot be replaced by technology would have been answered with: "the creatives," for example artists, designers, or authors. For a long time, creativity and machines seemed incompatible. But technology has been an important part of many creative processes for years, albeit unconsciously: starting with Google searches for research and inspiration, through curating Pinterest boards, to the final display on social media platforms. However, until now, the artist seemed to be the only individual capable of creating through creativity.

However, recent developments show that amazing results can also be achieved with the help of artificial intelligence (AI). Today, we see new tools almost every day that have exactly this goal: to create things. Whether slovenia consumer email list it's texts, images, music, keywords, translations - there is apparently nothing that an AI cannot already do. But how do humans fit into this work process? What do these developments mean for the creative industry? We dare to take a look into the crystal ball.

Of course, the creative industry is not the first or only industry to benefit from technological advances. In the healthcare sector, for example, expert systems have long been used to support diagnoses and predictions of disease progression. In finance, AI is used to analyze investment strategies, forecast stock prices, or automate banking. The manufacturing industry benefits from industrial robots that can perform monotonous tasks quickly and precisely. AI also ensures that these manufacturing machines are controlled and constantly checked for quality and possible failures. We can see that it is nothing new that AI is used in our work processes, and yet the latest developments are making waves. Why? I suspect there are various reasons for this:

It has never been so easy for the general public to interact with an AI and test its potential. For most people, machine learning, neural networks and artificial intelligence were abstract buzzwords that were hidden in many areas of everyday life but were not immediately noticeable (navigation, voice assistants, music streaming, facial recognition, etc.).