Credit and blame for AI-generated content: Effects of personalization in four countries.

ABSTRACT: Generative artificial intelligence (AI) raises ethical questions concerning moral and legal responsibility-specifically, the attributions of credit and blame for AI-generated content. For example, if a human invests minimal skill or effort to produce a beneficial output with an AI tool, can the human still take credit? How does the answer change if the AI has been personalized (i.e., fine-tuned) on previous outputs produced without AI assistance by the same human? We conducted a preregistered experiment with representative sampling (N = 1802) repeated in four countries (United States, United Kingdom, China, and Singapore). We investigated laypeople's attributions of credit and blame to human users for producing beneficial or harmful outputs with a standard large language model (LLM), a per

SUBMITTER: Earp BD 

PROVIDER: S-EPMC11668494 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature