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Human Research Ethics Research Integrity

Ask The Chefs: AI and Scholarly Communications – Scholarly Kitchen (Ann Michael | April 2019)

Posted by saviorteam in Research Integrity on May 19, 2019
Keywords: Big data, Data management, Methodology, Peer review, Research integrity, Research results
The word 'Data' viewed through a gap of a jigsaw puzzle of binary code

No one will dispute that AI (Artificial Intelligence) needs to “eat” data, preferably in massive quantities, to develop. The better the data quality, the better the result. When thinking about the potential applications of AI in scholarly communications as related to research artifacts, how will that work? How might AI be trained on high quality, vetted information? How are the benefits and costs distributed?

The ‘chefs’ at Scholarly Kitchen reflect on the role artificial intelligence could play in scholarly communications.  #SpoilerAlert, two things we need first are good and reliable data and steps to ensure deep biases in the current academic processes aren’t enshrined (and made invisible) in the inscrutable black box of code. We have included some links to a collection of related items.

This month we asked the Chefs: Where does scholarly communication and academic outputs fit in to the world of AI development?
.

Judy Luther: In scholarly communications there is an expanding body of openly available content from preprint servers, such as arXiv and bioRxiv, and Open Access journals and books. In addition, there is a growing variety of formats that include datasets and code, open peer review, media, and other elements of the scholarly research cycle. This volume of content provides a rich resource to be mined for all stakeholders as well as a broader audience.
.

Read the rest of this discussion piece

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