- From: carl mattocks <carlmattocks@gmail.com>
- Date: Fri, 23 Aug 2019 12:43:23 -0400
- To: Owen Ambur <Owen.Ambur@verizon.net>
- Cc: Paola Di Maio <paoladimaio10@gmail.com>, W3C AIKR CG <public-aikr@w3.org>, Kodjo Honsou <azariahonsou2@gmail.com>, William Glascoe <eosocxo@comcast.net>, Alan Yates <alan@docugami.com>, "Jorge Sanchez." <jorgesr@zoho.eu>, Chris Fox <chris@chriscfox.com>
- Message-ID: <CAHtonukLs2crL=oHT=4rUOb9fhhSGSJu9J_+wH6BEtJ774VS0Q@mail.gmail.com>
My contribution .. using my own suggestion for Title :} enjoy Carl Mattocks It was a pleasure to clarify On Thu, Aug 22, 2019 at 2:56 PM carl mattocks <carlmattocks@gmail.com> wrote: > > Excellent Title for one or more slides > AI can do better ... if only we have the understanding > > Carl Mattocks > It was a pleasure to clarify > > > On Thu, Aug 22, 2019 at 1:35 PM Owen Ambur <Owen.Ambur@verizon.net> wrote: > >> Paola, I added a slide entitled "'Machine-Readable Knowledge for Results" >> and made a few other tweaks in the attached update. >> >> Having spent my entire 34-year career in government, I too dislike >> politics. I'm aiming to disintermediate politics and politicians from as >> much as possible -- in a peer-to-peer based worldwide web of intentions, >> stakeholders, and results (which is the vision of the StratML standard). >> >> It is not politicians who are to blame so much as We the People >> ourselves. We can do better ... if only we have the understanding and will >> to do so. >> >> Is that not the purpose of "representing" knowledge? >> >> Owen >> On 8/21/2019 11:01 PM, Paola Di Maio wrote: >> >> Thank you Owen >> >> You send so much stuff and seems all good >> I completely dislike politics, makes me dizzy even >> >> I can easily add two links to the slides and video to my slides and paper >> as pointers to this work >> >> Please take a few more days to elaborate with your associates0 we have >> one week or so - >> >> please give url for both the resources you attached and if you could >> edit to explain (assuming the audience may not know) with a simple sentence >> for each point >> >> - what is machine readability >> - how is stratml good to deliver machine readabiity and other benefits vs >> other options >> (with link to stratml.org) >> - how is machine redabiity relates to KR and explainability >> >> This will make the contribution more relevant to the talk >> thank you >> >> P >> >> On Thu, Aug 22, 2019 at 10:47 AM Owen Ambur <Owen.Ambur@verizon.net> >> wrote: >> >>> Paola, there's nifty introduction to StratML presentation at >>> https://www.yumpu.com/en/document/view/32364433/introduction-to-stratml-aiim/2 >>> However, it is a bit outdated, is not particularly tailored for a KR >>> audience, and probably includes TMI as well. So I whipped up the attached >>> four slides. Please let me know if you'd like anything more or different. >>> >>> This site reads a previous version of Wikipedia's article on StratML for >>> the benefit of the blind, including information subsequently deleted by the >>> Wikipedia police: >>> https://www.youtube.com/watch?v=wV_6rsBOG4o&feature=youtu.be >>> >>> I'm not much for making (or watching) videos myself but I know that many >>> others are. So I'm copying a couple of my associates in the event they may >>> wish to take up that cause. >>> >>> It's not just politicians who don't want to be held accountable. That's >>> human nature. So beyond the obligation of each of us to hold ourselves and >>> our immediate associates accountable, we also have the power to hold public >>> officials accountable -- regardless of whether they are willing "man up" to >>> doing so themselves or not. However, accountability means more than merely >>> holding opinions and criticizing, based upon our own biases and dueling >>> narratives. It requires clearly specified performance metrics, readily >>> available to stakeholders. >>> >>> In short it requires an open, standard, machine-readable format like >>> StratML. >>> >>> President Trump's management agenda is available in StratML format at >>> http://stratml.us/drybridge/index.htm#Trump, along with a link that >>> opens it in an XForm for anyone who may wish to reports his >>> administration's performance against those objectives. >>> >>> Former President Obama's change.gov agenda is available at >>> http://stratml.us/drybridge/index.htm#Obama >>> >>> A bunch of candidate issue statements are available in StratML format at >>> http://ambur.net/#Candidates >>> >>> The question is whether voters truly want change or whether, like >>> politicians themselves, they are satisfied with more of the same, >>> self-serving #GOFPAU >>> <https://www.linkedin.com/search/results/all/?authorCompany=%5B%5D&authorIndustry=%5B%5D&contactInterest=%5B%5D&facetCity=%5B%5D&facetCompany=%5B%5D&facetConnectionOf=%5B%5D&facetCurrentCompany=%5B%5D&facetCurrentFunction=%5B%5D&facetGeoRegion=%5B%5D&facetGroup=%5B%5D&facetGuides=%5B%5D&facetIndustry=%5B%5D&facetNetwork=%5B%5D&facetNonprofitInterest=%5B%5D&facetPastCompany=%5B%5D&facetProfessionalEvent=%5B%5D&facetProfileLanguage=%5B%5D&facetRegion=%5B%5D&facetSchool=%5B%5D&facetSeniority=%5B%5D&facetServiceCategory=%5B%5D&facetState=%5B%5D&groups=%5B%5D&keywords=%23gofpau&origin=GLOBAL_SEARCH_HEADER&page=1&refresh=false&skillExplicit=%5B%5D&topic=%5B%5D> >>> and only care about gaining the upper hand to impose their will upon >>> others... in which case we will be demonstrating a sadly lacking sense of >>> enlightenment ... an inability to learn from the mistakes of the past, thus >>> dooming future generations to re-living it. >>> https://www.linkedin.com/pulse/enlightenment-what-we-fighting-owen-ambur/ >>> | >>> https://www.linkedin.com/pulse/fighting-political-polarization-owen-ambur/ >>> >>> If that's the case, shame on us. >>> >>> Owen >>> On 8/21/2019 12:35 PM, Paola Di Maio wrote: >>> >>> Thank you Owen >>> Most politicians do not really want to be held accountable for what they >>> say or do, especially when >>> their missions fail for unknown reasons (manouvers in political >>> underworld to ensure discord) really >>> that is the problem that xml wont fix. >>> >>> People who understand machine readability, do not need to be convinced >>> of anything, those who dont understanding may need a quick lecture, >>> >>> I ll make sure your contribution is included with your compliments :-) >>> if you want to create >>> a short video or set of slides introducing stratML in a few bullet >>> points also its relation to KR >>> I can also include it as a link as a footnote in the slides and paper >>> Delivers value and does not cost anything >>> >>> Thanks >>> PDM >>> >>> >>> >>> >>> >>> >>> On Thu, Aug 22, 2019 at 12:17 AM Owen Ambur <Owen.Ambur@verizon.net> >>> wrote: >>> >>>> Paola, I'm not sure how it might fit into your outline, but from my >>>> perspective, any discussion of "explainability in e-governance" would >>>> be >>>> incomplete without addressing the importance of machine-readable public >>>> records based upon internationally standardized schemas. >>>> https://en.wikipedia.org/wiki/Machine-readable_document | >>>> >>>> https://www.linkedin.com/pulse/open-gov-data-act-machine-readable-records-owen-ambur/ >>>> >>>> E-gov plans and performance reports are particularly important sets of >>>> such documents. >>>> >>>> https://www.linkedin.com/pulse/open-machine-readable-government-owen-ambur/ >>>> >>>> BTW, it would also be good if the agendas for events like this were >>>> published as performance plans in an open, standard, machine-readable >>>> format like StratML Part 2 (formerly ANSI/AIIM 22:2017) so that >>>> value-added intermediaries could facilitate stakeholder collaboration >>>> before, during, and after each event. See, for example, >>>> http://stratml.us/carmel/iso/part2/BS2019wStyle.xml >>>> >>>> In any event, IACT and TEG's about statements are now in the StratML >>>> collection at http://stratml.us/drybridge/index.htm#IACT & >>>> http://stratml.us/drybridge/index.htm#TEG >>>> >>>> Owen >>>> >>>> On 8/21/2019 1:14 AM, Paola Di Maio wrote: >>>> > We are giving a talk *and a paper next month on the topic >>>> > >>>> > AI KR for Explainability in EGovernance >>>> > https://iac2019.ndc.gov.tw/Content_List.aspx?n=81CD552EA1F70BF6 >>>> > >>>> > The outline of the talk so far is: (2-4 slides for each point) >>>> > overview and intro about AI KR and explainability (assuming audience >>>> > doesn know) >>>> > relevance to E-Governance >>>> > challenges and solutions >>>> > actions (probably referring people back to this group) >>>> > >>>> > If anyone is interested in contributing a few slides and a paragraph >>>> > or two >>>> > let me know and I ll share the drafts for editing, so that you can >>>> > fill out a few bits >>>> > and of course be credited accordingly >>>> > >>>> > deadline for final submission is 1 Sept , so all contributions must >>>> > reach me before Aug 30 >>>> > so that I can edit them into the draft >>>> > >>>> > Thanks, best regards >>>> >>>>
Attachments
- application/pdf attachment: AIKReGovernanceBetter.pdf
Received on Friday, 23 August 2019 16:44:30 UTC