Learning about AI KR, listing resources, vocabs

Fabio and everyone with or without relevant background, it is great to
learn about AI KR
AI is the future of learning and education, but the bias in LLM is a huge
risk of distortion/aberration of truth
We can use AI KR to help us provide logical integrity

However AI KR is a huge topic, with roots in cognition/epistemology, and
more generally in systems engineering

Although the tenets of logic have not changed in centuries (although new
ideas have come up like fuzzy logic)
, KR is still evolving in ways that are hard to follow
So we must continue to learn

I have created the beginning of a landing page for learning about AI KR,
which can also serve as a guide for curriculum development
I plan to shape it better (although my wiki formatting skill is limited)
with the help of everyone on this list

Feel free to contribute
https://www.w3.org/community/aikr/wiki/AI_KR_Learning_Resource

The much awaited AI KR vocabulary is almost here
It will be derived from the resources listed and articulated according to
the image here

[image: AI KR VOCABS.jpg]
Everything remains open for discussion, and thanks to those who have
expressed interest in doing a call
I ll be wrapping up some ideas and  propose possible dates for a call soon

PDM


On Wed, May 28, 2025 at 5:23 PM Paola Di Maio <paola.dimaio@gmail.com>
wrote:

> Welcome to the new members of this W3C AI KR CG
>
> We look forward to learn more about/from Shawn and Fabio
> Below some links to start from for newcomers
>
> In the article linked below, UFO is notably missing
> https://www.chrisshayan.com/blog-posts/how-ontologies-drive-explainable-ai
>
> This happened because the author, Chris, wrote it with the help of the LLM
> I too used an LLM to search for an overview of upper ontologies, but when
> I asked an expert to check the result
> some flaws were immediately obvious (notably the absence of UFO from the
> list and well as other possible biases)
>
> The lesson is: do use LLM for the legwork, but also check the output of
> the LLM with real domain experts, or do extra homework
>
> For those who recently joined:
> The current task in hand  is drafting an AI KR vocabulary, to help map
> the KR knowledge domain
> It is immensely challenging. due to the sheer size of the body of
> knowledge and its multiple facets and applications
> but we ll soon post something to discuss
>
> Please introduce yourselves if you like and share anything you may be
> working on that may be relevant here
>
> Best regards
>
> Paola Di Maio
>
> So far, the CG  consists of a mailing list, you can browse the archive
> here, where we try to keep track of current topics in AI KR
> https://lists.w3.org/Archives/Public/public-aikr/
>
> Some working notes on the wiki * may be outdated!
> https://www.w3.org/community/aikr/wiki/Main_Page
>
> A first report published some time ago,
> https://www.w3.org/community/aikr
> /wiki/File:AI_KR_FIRST_REPORT_PUBLISHED_VERSION.pdf
>
>
>