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Human-AI interaction in text production increases complexity in authorship.In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship andownership in human-AI collaboration for personalized language generation. Weshow an AI Ghostwriter Effect: Users do not consider themselves the owners andauthors of AI-generated text but refrain from publicly declaring AI authorship.Personalization of AI-generated texts did not impact the AI Ghostwriter Effect,and higher levels of participants' influence on texts increased their sense ofownership. Participants were more likely to attribute ownership to supposedlyhuman ghostwriters than AI ghostwriters, resulting in a higherownership-authorship discrepancy for human ghostwriters. Rationalizations forauthorship in AI ghostwriters and human ghostwriters were similar. We discusshow our findings relate to psychological ownership and human-AI interaction tolay the foundations for adapting authorship frameworks and user interfaces inAI in text-generation tasks.

The AI Ghostwriter Effect: When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors