Tools like ChatGPT can help, but transparency is vital, say Mohammad Hosseini and Serge Horbach
Questions around how artificial intelligence will affect research are becoming ever more important. As automation becomes increasingly widespread, academics are finding that time-saving shortcuts come with a host of ethical concerns around bias, research integrity and equality of access.
In May, Northwestern University, Chicago researcher Mohammad Hosseini and Aarhus University, Denmark researcher Serge Horbach took a closer look at how generative AI programmes like Chat GPT could change peer review. As the technology develops at breakneck speed, their exploration offers a guide to the positives and negatives of using AI.
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