Augmenting researchers with atomic utilization of AI
Not too long ago, I had the superior alternative to offer a workshop on the Open Knowledge Science Convention in London, and I mentioned what I contemplate to be a doubtlessly fascinating function for LLMs in augmenting educational and non-academic researchers by automating sure teams of duties.
On this article I wish to dive into the core ideas mentioned throughout that workshop, and focus on what I contemplate an interesting rising function for AI by means of integration with researchers in numerous fields.
The workshop I introduced explored the query:
how can we leverage LLMs to boost or increase analysis workflows with out diminishing the cognitive engagement of researchers?
Bearing on this matter of augmentation is all the time difficult and may result in some cringy conversations about how AI will exchange people within the close to future. Subsequently, for the aim of readability I wish to begin by defining it a bit extra concretely:
Augmentation = Enhancing Functionality By means of Instruments
The idea of augmentation is deeply rooted within the work of Douglas Engelbart, who considerably pioneered a model of this concept that know-how ought to improve human…