Some comments on the description of this group

Hello All,

To better understand what this group is about, I went through the 
description, and offer some of my reactions. My goal is to simply help 
sharpen what this group is trying to accomplish.

~~~~~
The overall goal/mission of this community group is to explore the 
requirements, best practices and implementation options for the 
conceptualization and specification of domain knowledge in AI.
~~~~~
"Conceptualization and specification of domain knowledge" reminds of the 
expert systems era and a family of techniques that have little overlap 
with the current ML approaches. While in silicon valley, ML and AI are 
largely used interchangeably, those with some historical perspective, 
recognize the evolution of techniques. For consider this video that 
explains the DARPA perspective on AI to encompass three phases of AI. 
https://www.youtube.com/watch?v=-O01G3tSYpU

It will be helpful for this group to refine its description of the set 
of AI techniques that are of interest.

~~~~~~~~~~~~~
We plan to place particular emphasis on the identification and the 
representation of AI facets and various aspects (technology, 
legislation, ethics etc) with the purpose to facilitate knowledge 
exchange and reuse.
~~~~~~~~~~~~~
The above statement, even though, appears agnostic to the specific 
technique being used, but really pertains to the second phase (ie, 
ML-oriented) techniques.  These days we do not hear too many people 
talking about the legislation and ethics around the first-phase (ie, 
rule-based) techniques.

~~~~~~~~
Therefore the proposed outcomes could be instrumental to research and 
advancement of science and inquiry, as well as to increase the level of 
public awareness in general to enable learning and participation.
~~~~~~~~~
There are other efforts to educate public about AI. E.g., there is an AI 
for K-12 initiative, and AAAI engages in considerable outreach to 
general community. It is not clear to me why a W3C group needs to be 
devoted to this problem.

~~~~~~~~~~~~~~~~~~~~~~~*
Proposed outcomes:*

  * A comprehensive list of open access resources
    <https://www.w3.org/community/aikr/welcome/ai-kr-task-list/knowledge-sources-for-ai-kr/>
    in both AI and KR (useful to teaching and research)
  * A set of metadata
    <https://www.w3.org/community/aikr/welcome/ai-kr-task-list/metadata/>
    derived from these resources
  * A concept map <https://www.w3.org/community/aikr/concept-maps/> of
    the domain
  * A natural language vocabulary to represent various aspects of AI
  * One or more encoding/implementations/ machine language version of
    the vocabulary, such as ChatBot Natural Language Understanding &
    Natural Language Generation
  * Methods for KR management, especially Natural Language Learning /
    Semantic Memory

~~~~~~~~~~~~~~~~~~~~~~~~

These sound like useful set of outcomes, but it is not clear who are 
they meant for, and who is it going to use them?
There may already exist such resources in some sub-areas, e.g., NLP 
tools, ontology editors, etc.
There is also some degree of coverage of these topics in the standard 
textbooks such as R&N.
Are you proposing to write a book? build a catalogue? Should you be 
working with AAAI on these?
How would you maintain them as things change?

Best Wishes,
Vinay.