The idea that software, itself, could be genuinely creative is a fascinating idea at the heart of the computational creativity research field. I’ve been investigating this idea for 25 years, via implementations of creative AI systems; applications of these to scientific, artistic and entertainment projects; public and creative industry engagement; and building a philosophical discourse around what it means for software to be creative. My current research interests include: extending the autonomy and creativity of generative deep learning approaches; democratisation of creative production through the design and deployment of casual creators; automating the creative act of software engineering; neural music generation; accessible computational creativity; and the notion of the ‘machine condition’, whereby machines record aspects of their existence and communicate what it is like to be a machine through artistic outputs triggered by certain life experiences.