Of the ERC survey respondents, 85% thought that generative AI could take on repetitive or labour-intensive tasks, such as literature reviews. And 38% felt that generative AI would promote productivity in science, such as by helping researchers to write papers at a faster pace.

And there is a drawback to the productivity boost that LLMs might bring. Speeding up the paper-writing process could increase throughput at journals, potentially stretching editors and peer reviewers even thinner than they already are. “With this ever-increasing number of papers — because the numbers are going up every year — there just aren’t enough people available to continue to do free peer review for publishers,” Lancaster says.

About 55% of the respondents to the Nature survey felt that a major benefit of generative AI is its ability to edit and translate writing for researchers whose first language is not English. Similarly, in a poll by the European Research Council (ERC), which funds research in the European Union, 75% of more than 1,000 ERC grant recipients felt that generative AI would reduce language barriers in research by 2030, according to a report released in December

Es ist zu erwarten, dass die digitale Literalität als eine Kulturtechnik, ohnewelche akademische Gelehrsamkeit heute kaum praktizierbar ist, sich unter dem Einflussvon GPTs verändern wird. So wie heute Suchanfragen im Netz eine unerlässlicheDimension geisteswissenschaftlicher Arbeit sind, so werden in Zukunft Assistenzarbeitenvon ChatGPT (Literaturlisten zusammenstellen, Kurzinfos über Buchinhalte/Aufsätzegeben, abstracts schreiben etc. ) viele Bereiche geisteswissenschaftlicher Arbeitunterstützen.