Public trust in AI-generated summaries of scholarly articles

Autor: Majima, Yoshimasa
Rok vydání: 2023
Předmět:
DOI: 10.17605/osf.io/9nc4f
Popis: Generative AI has brought several benefits, such as efficient writing, coding, and Internet searching. Scientists are also starting to use it as a tool to grasp the findings of articles with ease and to summarize major discoveries in the field. On the other hand, generative AI is said to have credibility and security concerns. In terms of credibility, it has been pointed out that there is a risk of "creating literature" that does not actually exist and of committing "hallucination", which is providing answers that are different from the facts. This study examines whether the general public trusts summaries of academic papers produced by generative AI.
Databáze: OpenAIRE