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Moral Accounting of Credit in LLM-Assisted Content Creation
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Resumo(s)
Every day we see news from around the world about the use of AI, GenAI and LLMs in content creation: LLMs are faster, more efficient, and, sometimes, more creative than humans. At first, this seemed incredible, but the integration of LLMs into professional and creative content production raises a business ethical question: When work assisted by these models is recognized and rewarded, how much of that recognition does the human creator legitimately earn? In this research we tested the moral accounting of credit, examining whether the benefit received by a creator is morally proportional to the contribution perceived by individuals, and if there is a moral penalty for creators using LLMs. Research on AI and business ethics has asked whether AI systems can be blamed, trusted, or judged as moral agents, however, it places AI as the object of moral judgment and leaves the human who receives the awards for the LLM-assisted work less examined.
Descrição
Nunes, J. R. (2026). Moral Accounting of Credit in LLM-Assisted Content Creation. Poster session presented at Data Research Meetup by MagIC, 4th ed, Lisboa, Portugal. https://doi.org/10.34619/kjbx-c2z6
Palavras-chave
LLMs Effort justification Moral inferences SDG 3 - Good Health and Well-being SDG 9 - Industry, Innovation, and Infrastructure