Splitting this question off from the other thread, to explore how we might use AI right now in doing KM work; and also start imagining future use cases for AI that are currently not possible, or no one has yet considered.
In terms of right now, one of the easiest use cases I can think of is simply providing best practices information and "how to" guidance about various KM tools and techniques. Whether it's social network analysis or COPs or narrative, practitioners and end users alike continue to ask the same questions again and again about what these things are, and how to go about doing them.
chatGPT is pretty good at collating and summarizing everything that has been written about things like this, so it provides a solid starting point for answering these simple questions.
These types of questions are examples of what could be considered deductive problem solving, which has the pattern, If A, then B.
Where AI is not going to be as effective is knowing which tool to use for a given circumstance. This requires inductive problem solving, something that human brains are superior to doing compared to computers. In order to recommend a KM solution, one has to understand the current situation and identify either shortcomings or opportunities for improvement; and then within that, identify which KM tools might be brought to bear.
As far as I know, this sort of multi-variate problem space is not well-suited to current AI's. The big question is, will it be one day?
In the mean time, it seems to me that practitioners could embrace AI tools like chatGPT to reduce the amount of time and energy needed to get up to speed on various KM tools and techniques. Under the guidance of a mentor, this could be a way for newer KM practitioners to shorten their learning curve and expand their knowledge of available KM methodologies.
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