Re: Catalog of Biases

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 
> <mailto: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
>>