- From: carl mattocks <carlmattocks@gmail.com>
- Date: Wed, 27 May 2020 13:28:30 -0400
- To: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAHtonukT8Orvg8PXcaYcyX7tGznANivY35OmN_CDRNK-M-xAZw@mail.gmail.com>
Milton: Reference to KAIROS is to highlight that the experimental approach of using publically available Schemas/Models/Templates as KR is not our own invention. I am not aware of any AIKRCG member participation in any RFI/RFP of any kind. UIMA is the only framework that I know of that covers one aspect of KM used for AI (tools, and annotators, facilitating the analysis of unstructured content) Carl It was a pleasure to clarify On Wed, May 27, 2020 at 12:25 PM ProjectParadigm-ICT-Program < metadataportals@yahoo.com> wrote: > With regard to the original objectives of the W3 AI-KR CG, and global > initiatives for (the ethical use of) AI, and its current relevance for > disease control issues related to COVID-19, can we please in defining a > strategy for use of StratML in AI-KR, independently of KAIROS? > > In too many areas I have surveyed and looked into for research on my Smart > City framework model I have encountered government contracts on highly > controversial issues, hinting at military applications, which are highly > suspect in terms of lack of adequate and transparent oversight and > accountability. > > Since both the European Union and the UN stress the ethical use of AI I > would where possible like to steer clear of any military programs or > projects. > > There should be a Chinese wall (pardon the pun) separating what individual > members of the W3 AI-KR CG aspire to do or to participate in RFPs for > defense contracts and what we do as a collective in the form of a community > group. > > As a Dutch/European Union citizen I feel very strongly about this. That > our efforts may have military applications is not the issue, but we should > center our efforts on civilian frameworks of reference. > > If we can find a civilian framework similar in scope and objectives to > KAIROS to use alongside KAIROS I would be more at ease. > > Just wanting to make explicit my ethical point of view. > > Milton Ponson > GSM: +297 747 8280 > PO Box 1154, Oranjestad > Aruba, Dutch Caribbean > Project Paradigm: Bringing the ICT tools for sustainable development to > all stakeholders worldwide through collaborative research on applied > mathematics, advanced modeling, software and standards development > > > On Thursday, May 14, 2020, 11:10:28 AM ADT, carl mattocks < > carlmattocks@gmail.com> wrote: > > > Towards adopting stratml for the AIKRCG 'strategy' ... > Given we are AIKR ... we understand that Kairos signifies a proper or > opportune time for action and our usage of StratMl to EXPLAIN makes us > interested in Knowledge-directed Artificial Intelligence Reasoning Over > Schemas (KAIROS) DARPA-SN-19-19 . > > Our discussions have focused on: > StratML is our Schema start point for reasoning, as in, the performance > of AIKR inference > <https://www.merriam-webster.com/dictionary/inferences>s is scoped / > weighed by the declared strategy. > AIKR reasoning uses KRID identifiers and data (aka metadata) properties, > such as KR TYPE. > KR Types include Declarative and Imperative (aka procedural). > > Carl > > Chair AIKRCG > It was a pleasure to clarify > > > On Thu, May 14, 2020 at 7:37 AM Paola Di Maio <paola.dimaio@gmail.com> > wrote: > > It is under Owen and Chris's leadership that we are making some progress > towards > adopting stratml for the AIKRCG 'strategy' > > In sum. what are we doing/planning to do as a group is going to be > documented in the plan. and although we are still working things out, as > we do have moments of brilliance and outbursts of productivity we can put > them down in this stratml plan on the stratnav app so that they ll be a > record of that. should be useful. I apologize again for being very tired > but 9 pm is very late for me. especially when I have had a full day incl > other calls etc- > > a few notes below > > > the plan being developed here > <https://www.stratnavapp.com/StratML/Part1/413d648b-bd36-418d-af74-e15b0cd8281d/Styled>. > if anyone is inspired to chip in pls ask editing pass to Chris on this list > > > > With reference to our Frameworks goal > <https://www.stratnavapp.com/StratML/Part1/413d648b-bd36-418d-af74-e15b0cd8281d/Styled#Goal_f1a62bb5-9910-4052-946a-344c0e22272f>, > I will endeavor to render in StratML Part 2 format any frameworks that may > be discovered and available on the Web. Please apprise me of any of which > you are aware. > > To clarify - Jorge aske whether we are using any framework of reference > for our work. which loosely attempts to study explainability for machine > learning. That particular goal for our CG may need to be refined a little - > I dont think a frameworks exists as such (strategies, methods) but there is > interesting work being done, which I dont think is a framework yet. rather > a compilation of possible techniques. the effectiveness of which may need > to be evaluated in the field. So to answer the question, methods to address > explainability of ML exist but > a) I dont think are frameworks/strategies - this may be our goal? to > gather what is in the field and make a framework? > b) evaluation criteria for the effectiveness of these methods may not yet > be studied, again > could this be our work? I am doing some research in this direction but not > yet conclusive > I volunteered to take up this task and shall soon update the plan with > some links but I am putting together a presentation- > anyone want to contribute? > > The caveat is that statistical pronability and non parametric methods in > ML are unpredictable by definition > https://machinelearningmastery.com/uncertainty-in-machine-learning/ > http://mlg.eng.cam.ac.uk/zoubin/talks/mit12csail.pdf > > (this is not my field at all, does anyone care to expand?) > so I am not sure how to address this unpredictability other than with the > question > > Can we use known symbolilc KR to explain ML? > > In the meantime, this Google site-specific query > <https://www.google.com/search?ie=UTF-8&oe=UTF-8&q=AI+framework&btnG=Google+Search&domains=stratml.us&sitesearch=stratml.us> > of the StratML collection turns up about 29 hits on the terms "AI > framework". Here's <https://www.modzy.com/platform-and-marketplace/> the > top paid ad-placed hit (not yet in the StratML collection but soon to be). > > thanks - how do we query for ML explainability framework (a bit more > precise semantically in relation to what we are doing here) > > KRID - Carl is putting forward a category/concept/type whereby KR is > identified > so KRID = some value to describe KR identity > Carl started by suggesting the top level distinction for this concept > would be > declarative/procedural > i do not yet have an opinion about this, but would request Carl to start > sketching out > the taxonomy for KRID as he envisions it. so that we can have a discussion > about it > One considertation is: to what extent is declarative/procedural knowledge > relevant to support ML? or is KRID intended for AI in general (not ML) . > Carl perhaps you should create this as a goal for yourself.Also could you > clarify the relation of KRID to KAIROS? > > Thanks! > > PDM > >
Received on Wednesday, 27 May 2020 17:29:24 UTC