Artificial Intelligence (AI) has rapidly transformed various industries, and scholarly publishing is no exception. According to a survey by Springer Nature, more than 63% of researchers believe that AI has the potential to significantly impact the academic publishing landscape in the next few years.
In conclusion, AI/ML is transforming scholarly publishing by enabling researchers to analyze large amounts of data, improve the quality and accuracy of their writing, and automate certain tasks in the publishing process. While there are challenges to overcome, the benefits of ML in scholarly publishing far outweigh the risks. By embracing the technology, scholarly publishing can become more efficient, accessible, and impactful for researchers and readers alike.