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Co-Authorship

Also known as: Co-authoring, AI Co-Authorship

In AI-mediated writing and communication, the shared production of text between a human user and an AI system, where neither party fully owns the resulting output. Co-authorship raises questions about credit, intent, authenticity, and accountability, and these become especially sharp in assistive contexts: in AI-assisted AAC, the AI's suggestions can become the user's literal spoken voice, blurring whether an utterance reflects the user's communicative intent or the model's prediction. Designing for healthy co-authorship typically involves transparent suggestion timing, partial-acceptance interactions that preserve fine-grained user control, visible authorship cues for interlocutors, and user-tunable models so the human remains the deciding voice.

Category: Human-AI Collaboration · AI ethics · Accessibility Concepts

Related: AI Ghostwriter Effect · Conversational Agency · Personalization · Augmentative and Alternative Communication

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