Which aspect of AI does computational creativity aim to enhance?

Computational creativity specifically focuses on improving the creative output generated by AI systems. This field seeks to enhance how AI can generate original and novel ideas, concepts, or works—ranging from art and music to writing and design. By leveraging algorithms and models that can mimic or innovate upon human-like creative processes, computational creativity aims to produce works that not only address specific problems but also resonate emotionally or aesthetically with people.

The emphasis on creative output marks a departure from traditional views on AI, which often prioritize efficiency, accuracy, or performance measures related to execution speed or data handling. While aspects like model execution speed, privacy measures, and training methods are relevant to the overall functionality and deployment of AI systems, they do not pertain directly to the enhancement of creativity in outputs, which is the central goal of computational creativity.