- From: Paola Di Maio <paola.dimaio@gmail.com>
- Date: Tue, 21 Apr 2020 10:26:27 +0800
- To: ontolog-forum <ontolog-forum@googlegroups.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=Sr42zYzvCBHF_Eq9sV62fbC+Q3KgRPtdCijeJkZxmkXSQ@mail.gmail.com>
Hello Frank Thanks for reply and for your interest (At the back of my mind I wonder if you are related to Nicola) I am working on FAT AI - yes, there is strong AI. weak AI and FAT AI - ha ha In particular, I developing a knowledge object for FAT KR, fair, accountable transparent https://docs.google.com/drawings/d/1ARnEiubC7bDkSsJzAKvapYISYGANz5D9oOTEvuxR-lE/edit?usp=sharing Please note this is an infographic, not a UML nor flowchart I am preparing a lecture and writing up note do nto ahve a narrative yet but in sum, we need a way of instilling the notion of adequacy into KR. At the moment it is a bit notionally done. And FAT is one set of such possible evaluation criteria for adequacy (Also others of course) I am interested in feedback on the diagram , can you make sense of it? can it be clarified/improved? > I’ve personally spent years working with data-driven schema-less models > that help eliminate such biases and open up a world of model > representations that allow knowledge to form freely and adjust dynamically > to data changes. Please do share your stuff , i d like to include/reference it in this work cheeers PDM On Tue, Apr 21, 2020 at 9:08 AM Frank Guerino <frank.guerino@if4it.com> wrote: > Hi Paola, > > > > This is very interesting. Thank you for sharing it. > > > > In addition to researching bias as a pathology resulting from poor > knowledge modeling, you may want to also consider the reverse (i.e. poor > modelling/models that result from biases). One such bias arises from the > notion that model structures must be pre-designed and imprinted in database > schemas in order to capture model data, forcing data to be > restructured/transformed to fit the model’s design rather than having the > model result from the ever changing data, itself. We see this with > enterprise modeling tools (e.g. Architecture Modeling Tools, Cause & Effect > Models, CMDBs, etc.). I’ve personally spent years working with data-driven > schema-less models that help eliminate such biases and open up a world of > model representations that allow knowledge to form freely and adjust > dynamically to data changes. > > > > Another example is “standards” (which are like belly buttons because > everyone has one). Often, standards establish pre-conceived notions and > cause severe narrowmindedness, yielding the opposite of their original > intent. > > > > There are many such biases that cause bad modelling/models and you may > want to explore them as well. > > > > My Best, > > > Frank > > -- > > *Frank Guerino, Principal Managing Partner* > > > *The International Foundation for Information Technology (IF4IT)* > *http://www.if4it.com <http://www.if4it.com>1.908.294.5191 (M)* > > *Guerino1_Skype (S)* > > > > > > *From: *Ontolog Forum <ontolog-forum@googlegroups.com> on behalf of Paola > Di Maio <paola.dimaio@gmail.com> > *Reply-To: *Ontolog Forum <ontolog-forum@googlegroups.com> > *Date: *Saturday, April 18, 2020 at 4:18 AM > *To: *Ontolog Forum <ontolog-forum@googlegroups.com>, W3C AIKR CG < > public-aikr@w3.org> > *Subject: *[ontolog-forum] Catalog of Biases > > > > This is a very good find for me > > https://catalogofbias.org/biases/ > > and hopefully also for fellows on the lists > > > > I am researching bias as a pathology resulting from poor knowledge > modelling, the remedy is > > knowledge representation > > > > It happens to be structured as a taxonomy, what fun > > > > PDM > > > > -- > All contributions to this forum are covered by an open-source license. > For information about the wiki, the license, and how to subscribe or > unsubscribe to the forum, see http://ontologforum.org/info/ > --- > You received this message because you are subscribed to the Google Groups > "ontolog-forum" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to ontolog-forum+unsubscribe@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/ontolog-forum/CAMXe%3DSo%2B%3D1X3A4VGN6Ecv78MD604vWRU7600oimG3jDr0fsLtw%40mail.gmail.com > <https://groups.google.com/d/msgid/ontolog-forum/CAMXe%3DSo%2B%3D1X3A4VGN6Ecv78MD604vWRU7600oimG3jDr0fsLtw%40mail.gmail.com?utm_medium=email&utm_source=footer> > . > > -- > All contributions to this forum are covered by an open-source license. > For information about the wiki, the license, and how to subscribe or > unsubscribe to the forum, see http://ontologforum.org/info/ > --- > You received this message because you are subscribed to the Google Groups > "ontolog-forum" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to ontolog-forum+unsubscribe@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/ontolog-forum/CD63D594-3C23-42D1-BFDD-6D3A383FC126%40if4it.com > <https://groups.google.com/d/msgid/ontolog-forum/CD63D594-3C23-42D1-BFDD-6D3A383FC126%40if4it.com?utm_medium=email&utm_source=footer> > . >
Received on Tuesday, 21 April 2020 02:27:18 UTC