- From: Paola Di Maio <paoladimaio10@gmail.com>
- Date: Mon, 20 Apr 2020 07:15:58 +0800
- To: Owen Ambur <Owen.Ambur@verizon.net>, W3C AIKR CG <public-aikr@w3.org>
- Cc: cebm@phc.ox.ac.uk, Ranjeeth Thunga <rkt@interposting.com>, Russ Ruggiero <russell_ruggiero@hotmail.com>
- Message-ID: <CAMXe=SqfDGzVJK8QMHyov+gWdmjr-Z=rvSBXwbYF_BCTCEOzrg@mail.gmail.com>
Thank you Owen Rangeet, and CEBM we found your taxonomy of biases very interesting and Owen has produced a machine readable version of your web page, The description of the catalog is now available in StratML format at https://stratml.us/drybridge/index.htm#COB I am interested in the visualization, when is it coming? I am also interested in integrating your taxonomy to other categories of biases (cognitive. algorithm) and to see how many of your biases are applicable to other domains (not health) I expect a lot of interesting overlap and possibility for integration This is an exercise in AI Knowledge Representation We work in the open public domain and expect some teaching/learning resource to come of this work Look forward to hear from you Thank you Owen Best regards PDM On Mon, Apr 20, 2020 at 12:57 AM Owen Ambur <Owen.Ambur@verizon.net> wrote: > Paola, your wish is my command. > > Dear CEBM Folks, I hope this information is helpful. If you see prospects > for collaboration with the W3C's AI Knowledge Representation Community > Group <https://stratml.us/drybridge/index.htm#AIKRCG> and/or the StratML > Community <https://stratml.us/>, please let us know. > Owen Ambur > https://www.linkedin.com/in/owenambur/ > > > On 4/19/2020 3:17 AM, Paola Di Maio wrote: > > Thank you Owen > we should ping them with your stratml, I also want to see the > visualization for their taxonomy > when I get a minute, maybe in two years time or so :-) > P > > On Sun, Apr 19, 2020 at 3:12 AM Owen Ambur <Owen.Ambur@verizon.net> wrote: > >> The description of the catalog is now available in StratML format at >> https://stratml.us/drybridge/index.htm#COB >> >> Wikipedia also has a pretty long listing of cognitive biases at >> https://en.wikipedia.org/wiki/List_of_cognitive_biases >> >> Helping us recognize our own biases and avoid the detrimental impact of >> artificial ignorance (A<I>) seems like a great use case for the application >> of augmented intelligence (AI). >> https://www.linkedin.com/pulse/artificial-ignorance-owen-ambur/ >> >> The first step is to become more mindful of our own personal values and >> objectives. >> >> The second is to form more consciously connected communities in pursuit >> of objectives we cannot accomplish alone. >> https://connectedcommunity.net/ | >> https://www.linkedin.com/pulse/consciously-connected-communities-owen-ambur/ >> >> One way of thinking about it is as a "Prefrontal Core-Text" for the >> Internet. >> https://www.linkedin.com/pulse/i-only-had-brain-evolving-prefrontal-core-text-internet-owen-ambur/ >> >> Paola's message prompted me to document another StratML use case: >> >> Goal 33: Artificial Ignorance >> <https://stratml.us/carmel/iso/UC4SwStyle.xml#_d259c172-81a5-11ea-bcc4-63aa2c83ea00> >> - Help human beings overcome their personal biases that prevent them from >> attending to evidence that is applicable to the realization of their >> objectives. >> >> This one was previously documented: >> >> Goal 30: Artificial Intelligence >> <https://stratml.us/carmel/iso/UC4SwStyle.xml#_6f069874-bb92-11e7-9b76-f79f9342c8d9> >> - Document on the Web in StratML format the performance plans of proposed >> artificial intelligence agents. >> >> Some commentators have begun to reference "AI partners". See also this >> StratML use case: >> >> Goal 14: Partnerships & Multi-Organization Groups >> <https://stratml.us/forms/temp-stratml/temp.xml#_0fc1e310-08a5-11e6-b06f-a2fa45c7ae33> >> - Use the Relationship elements to cross-reference common and complementary >> objectives in the plans of each member of a partnership, consortium, or >> other informal group. >> >> StratML use cases 30 & 33 will facilitate the integration of AI agents >> into partnerships in consciously connected communities. >> >> Owen >> On 4/18/2020 4:18 AM, Paola Di Maio wrote: >> >> 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 >> >> >>
Received on Sunday, 19 April 2020 23:16:51 UTC