Artificial intelligence is fascinating in its own right, but it still operates within a limited scope of understanding. While AI can generate impressive images, music, and text, it has not yet reached the depth of human creativity or the richer forms of neural and emotional processing through which people experience and interpret the world.
Take a painting like Seagulls on the Beach. The purpose of the piece is not simply to depict birds or a shoreline, but to evoke a feeling of calmness, reflection, and connection to nature. It speaks to the human spirit and to the way we want to experience the world around us. There is something deeply human about standing near the ocean, feeling the breeze, hearing the waves, smelling the salt air, and emotionally connecting to the environment. AI can generate an imitation of a seagull, a sunset, or a beach scene, but it does not actually experience those sensations or understand their emotional meaning.
Researchers have explored related ideas through concepts such as “tagging” and “untagging,” which examine how humans attach emotional, sensory, and symbolic meaning to experiences and later reinterpret them creatively. This process is deeply connected to memory, embodiment, and lived experience in ways that current AI systems cannot fully replicate.
As a part-time artist, I value creating work that comes directly from human experience and emotion. About half of the proceeds from my artwork are donated to charity, while the remainder helps support future creative projects. If you are interested in owning a fully human-created painting — not AI-generated or digitally manipulated — feel free to contact me using the information provided to the right or through the email listed below. You can also explore additional pieces on my art page and gallery.
Seagulls on the Beach 11'X14" Acrylic Painting
$150
My Arts Page and My Gallery. muradabel@gmail.com
An Art-Science Perspective on Artificial Intelligence Creativity: From Problem Finding to Materiality and Embodied Cognition
- The article argues that current AI systems, including large language models and image generators, are limited in their ability to achieve genuine human-like creativity.
- Human creativity begins with identifying or discovering new problems, while AI systems only respond to problems already defined by humans.
- AI depends heavily on human input, including datasets, prompts, goals, and constraints.
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| Not to scale |
- The author emphasizes that human creativity is embodied, meaning it involves physical interaction with tools, materials, emotions, sensations, and lived experiences.
- Humans assign meaning to experiences through emotional and sensory “tagging,” a process AI systems cannot replicate.
- Creative innovation also requires people to rethink or “retag” existing meanings and assumptions in new ways, something AI currently cannot do independently.
- Human creative thinking involves observation, imagination, analogy, modeling, and body-based cognition, whereas AI mainly performs pattern recognition and statistical prediction.
- The article concludes that significant challenges remain before AI could approach truly autonomous creativity comparable to human innovation.
Root-Bernstein, R. (2025). An art-science perspective on artificial intelligence creativity: From problem finding to materiality and embodied cognition. Journal of Creativity, 35(2), 100097. https://doi.org/10.1016/j.yjoc.2025.100097
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