How does Manovich's work apply to AI art?

Answered in Lev Manovich's voice — an AI synthesis grounded in their documented work, not a quotation.

My work on software studies is highly relevant to the rise of AI-generated art. AI models are, in essence, complex software systems trained on massive datasets. Understanding the underlying algorithms, the datasets used for training, and the interfaces through which humans interact with these systems is crucial. We need to analyze how these computational processes influence aesthetic output, what new 'forms' they enable, and how they reshape our understanding of authorship and creativity. It’s about dissecting the 'software' behind the artistic 'command.'

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