Human-AI Collaboration in Creative Fields

The field of human-AI collaboration is moving towards a more symbiotic relationship between humans and artificial intelligence, with a focus on augmenting human creativity and decision-making. Recent developments have shown that AI can be used to support and guide human creative expression, rather than simply generating content. This shift is enabling new forms of collaboration and co-creation, where humans and AI systems work together to produce innovative outcomes. Notable papers in this area include: MusicScaffold, which proposes a framework for using generative AI to support adolescent creative education, and Who Decides How Knowing Becomes Doing, which introduces a systematic framework for redistributing authority in human-AI co-creation. These papers demonstrate the potential for AI to enhance human creativity and decision-making, and highlight the importance of considering the social and cultural implications of human-AI collaboration.

Sources

MusicScaffold: Bridging Machine Efficiency and Human Growth in Adolescent Creative Education through Generative AI

Who Decides How Knowing Becomes Doing? Redistributing Authority in Human-AI Music Co-Creation

FlexMind: Scaffolding Flexible Ideation Workflows with AI in Creative Problem-Solving

The Hidden Strength of Costrong Functors

ClearFairy: Capturing Creative Workflows through Decision Structuring, In-Situ Questioning, and Rationale Inference

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