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Human-AI Co-Creation

Also known as: Human-AI Co-Creative, Co-Creative AI, Mixed-Initiative Co-Creation

Human-AI co-creation refers to creative work in which a person and an AI system iteratively contribute to the same artifact, with each shaping the other's next move rather than the AI acting as a one-shot tool. In accessibility contexts, co-creative systems are used to scaffold expression for people whose disability makes solo creation difficult, for example writers with aphasia composing stories, children with language delays building narratives, or AAC users assembling visual scenes. Good co-creative design preserves user agency: the AI suggests, structures, or fills gaps, but the user retains authorship and can accept, reject, or revise contributions. Risks specific to co-creation with disabled users include the AI overriding user intent when input is fragmented, infantilizing the output, or producing stereotyped representations that misrepresent the person's identity.

Category: AI and accessibility · Human-AI Collaboration · Generative AI · Inclusive Design

Related: Generative AI · Large Language Model · Co-Creative · Augmentative and alternative communication

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