Late-Binding Scholarship in the Age of AI

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Interesting read, though many of the challenges are similar to those of interactive coding tools (such as, Jupyter Notebooks) and thus far academic disciplines have pushed back against their use and largely remained where they were 50 or 60 years ago with traditional journal articles. We will see if AI makes better progress in this regard.

Scholarly processes play a pivotal role in discovering, challenging, improving, advancing, synthesizing, codifying, and disseminating knowledge. Since the 17th Century, both the quality and quantity of knowledge that scholarship has produced have increased tremendously, granting academic research a pivotal role in ensuring material and social progress. Artificial Intelligence (AI) is poised to enable a new leap in the creation of scholarly content. New forms of engagement with AI systems, such as collaborations with large language models like GPT-3, offer affordances that will change the nature of both the scholarly process and the artifacts it produces. This article articulates ways in which those artifacts can be written, distributed, read, organized, and stored that are more dynamic, and potentially more effective, than current academic practices.

Ryan Watkins