It was a real pleasure to share the stage with some amazing speakers this week on the Knowledge Management Global Network (KMGN) Roundtable Panel on AI and Tacit Knowledge.
Past KMGN President, Moria Levy did a great job of hosting and you can read her summary post here. Her selection of five completely different speakers with individual viewpoints from 5 continents was really impressive, and personally, it was a real honour to share the stage with all of them, but especially one of my KM heroes, Alex Bennet. I do have to also shout out to Fisher Yu. The idea of doing a session like this in a second language is terrifying to me and he did an awesome job.
The speakers were:
- Dr. Pavel Kraus, (Switzerland)
- Alex Bennet, (Alex & David Bennet) (Virginia, USA)
- Elmi Bester, (South Africa)
- Fisher Yu (China)
- and of course myself, Stuart French.
In my talk, I mentioned a recent blogpost about using AI to capture Tacit Knowledge. You can find that here.
If you haven't heard of Tacit Knowledge, it was first spoken about by Michael Polanyi (he goes into detail in his book Personal Knowledge) and is often juxtaposed against Explicit knowledge which is knowledge that is written down or able to be easily expressed. When it comes to experience and expertise, tacit knowledge plays a huge part. Being an expert is way more than just being able to remember all the rules and procedures in your field.
Here is my definition of tacit knowledge:
"Tacit knowledge encompasses the deeply personal, experience-based understanding and skills developed through pattern recognition and practical engagement. This type of knowledge is intuitive and often unconscious, expressed through actions and reactions rather than words. It thrives in environments that encourage experiential learning and collaboration, where it can be naturally shared through doing, observing, and mentoring."
If you missed it, here is the recording.
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