This website may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the website work as you expect it to and give you a more personalized web experience. We respect your right to privacy, so you can choose not to allow some types of cookies. Click on the different category headings to find out more. You can accept or refuse our use of cookies, by moving the selector switch in each category to change our default settings. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer you.
Artificial intelligence and machine learning tools have been in use for quite a while in scholarly publishing, performing tasks like quality assurance, reproducibility checks, taxonomy generation and content enhancement. Recently there has been extra attention paid to AI thanks to image creation tools like DALL-E and text creation tools like ChatGPT. As compelling as these technologies are, it is important to recognize that these are essentially advancements of existing capabilities that are already in use.
This webinar will feature a discussion of how AI and ML tools are being used today to screen research articles, create efficiencies in the publishing process, and enhance published works. We will look at some of the ethical issues inherent in the use of AI, as well as some of the guidelines that are in place to help publishers navigate the growing dominance of the technology. We will also take a close look at some of the tools that can be deployed today, their uses and their limitations.
Panel:
Ian Mulvaney, Chief Technology Officer at BMJ
Joris van Rossum, Product Director at STM Solutions
Josh Nicholson, Co-founder and CEO at scite