Manuscripts that only flatly summarize knowledge in a field could become superfluous, as AI-powered systems will become better and better at generating more comprehensive and updated summaries automatically. Furthermore, the use of A.I. technologies in data analysis and synthesis will greatly reduce human tasks, enabling more efficient and timely production of preliminary findings. What kind of reviews will still find room in an academic journal? It is reasonable to believe that reviews that provide critical analysis, unique interpretations of existing literature, which connect different areas, shed novel light on available data, that are aware of their human partiality, will continue to be valuable in academic journals.
https://doi.org/10.1002/leap.1648
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
