Machines alone are not Creative
What some are missing about Generative AI
by Seán (11.03.2025)
​Artificial Intelligence (AI) has made significant strides in recent years, producing artworks, music, and literature that closely mimic human creations. However, it's essential to recognize that while AI can replicate patterns and styles, it lacks the intrinsic qualities that define true creativity.​
Without downplaying the usefulness of it, it is safe to say that we are dealing with "spicy statistics" whenever we speak of AI. Our minds are not mere statistics-machines. Children do not require to digest gigatons of text in order to learn their first language. Whilst Gen AI has shown to be good at reproducing established practices of writing content, or generating audio and video, the outcomes are necessarily the endproduct of a complicated process of averaging over a vast dataset. Even if we can make an AI write music like Bach did, the music it will produce will never be influenced by factors outside of a narrowly curated dataset. Whilst the real Bach's work was influenced by his passions, tragic events, or toothaches in the morning, the AI can only look at what left us in the form of musical notes.
The process of content generation is fundamentally different from human creativity, which involves consciousness, intent, and emotional depth.​ Human creativity is deeply rooted in personal experiences, emotions, and the ability to imbue art with meaning and context. Some of the best music was composed when artists were struggling, when they were forced to create something remarkable or perish otherwise. This struggle is not replicated in the rehashing of already produced (and often already successful art). Developers of LLMs understand that context matters, but when it comes to creativity, the context is too big to capture in data as it entails every aspect of your life. All of it is an artist's true context. ​
The real challenges of developing and using AI are now emerging. It is not that these tools and models aren't powerful. It is rather that we have not figured out yet how to best introduce the human element into the loop of generation. What are the questions to ask? How does a human need to be "prompted"?
AI-generated art often relies on existing human output, raising ethical concerns about consent and originality. Moreover, musicians and artists have claimed that AI could diminish the authenticity and emotional depth of creative works, as AI lacks the nuanced humanity essential in art. It is clear that AI's dependence on pre-existing data means it cannot originate truly novel ideas or concepts, limiting its ability to innovate beyond the patterns it has learned. The innovation can only be provided by genuine creativity. In the same way that a human teaming up with AI beats every lone AI or lone human chess player, we are at the brink of defining the most fruitful collaboration between human creativity and generative power.