Event Type
Lightning Talk
Description
The release of generative AI products has raised numerous questions in the library information environment. One area which raises many concerns surrounding the use of AI is scholarly publication. The presence of AI raises numerous questions in relation to ethics of applying it in the production of academic research, and many academic publishers have not yet implemented standards for the use of AI regarding use, attribution, transparency, or disclosure. While difficult to prove with certainty in most cases, there is evidence via search results in popular databases to suggest the use of AI is having a noticeable impact on the volume of research production. The use of certain terms alleged to be commonly associated with content produced by generative AI shows sudden large increases in search results when queried against many popular academic literature databases. This talk seeks to demonstrate this phenomenon via the results of a specific literature search in Web of Science, and it will pose critical questions surrounding the impact of AI in research publication including the incentives to participate in research overproduction and the validity of impact factor in a world with AI.
Included in
The Impact of AI on Research Overproduction: Evidence in Search Results
The release of generative AI products has raised numerous questions in the library information environment. One area which raises many concerns surrounding the use of AI is scholarly publication. The presence of AI raises numerous questions in relation to ethics of applying it in the production of academic research, and many academic publishers have not yet implemented standards for the use of AI regarding use, attribution, transparency, or disclosure. While difficult to prove with certainty in most cases, there is evidence via search results in popular databases to suggest the use of AI is having a noticeable impact on the volume of research production. The use of certain terms alleged to be commonly associated with content produced by generative AI shows sudden large increases in search results when queried against many popular academic literature databases. This talk seeks to demonstrate this phenomenon via the results of a specific literature search in Web of Science, and it will pose critical questions surrounding the impact of AI in research publication including the incentives to participate in research overproduction and the validity of impact factor in a world with AI.