Re: Bias & Perception

My lifelong quest as a mathematician to come up with a generalized mathematical framework that reconciles the Skolem -Godel theorems, the parallel theorems for computability (Turing machines and automata) and information theory, and consistency in unification attempts for general relativity, quantum physics and string theory, inspired by recent work by neuro and cognitive sciences and the more than a century old philosophical debate on the form and role of perception in how we arrive at creating knowledge, points to bias appearing as an intrinsic aspect of the observation process, and can be broken down into many different components.
This is the reason why I been driving the category theory utilization in knowledge modeling message home, because it can be useful to classify the forms of bias according to origin (scientific method of specific academic discipline), observational bias, perceptional bias, etc.

The bulk of bias forms can be attributed to hard wiring in the brain, but also cultural, social and peer factors to name a few,
If we limit ourselves for now to categorizing the forms of bias in cognitive sciences, life sciences, physics, philosophy, psychology and economics we should have a fairly complete overview.
The effect of bias can be compared to the diffraction and refraction of light through a prism.

My bet is on the neuro and cognitive sciences and philosophy to provide the basic tools to categorize the bias in the hard wiring of the brain and all the forms of perceptional bias.

Milton Ponson
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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 Tuesday, April 21, 2020, 11:37:17 PM ADT, Paola Di Maio <paoladimaio10@gmail.com> wrote:  
 
 Thank you!Please note that in AI terms, the question may be reversed
how does perception determine/cause bias?is our cognitive bias influenced by our imperfect perceptual apparatus?
much to be worked on :-)

On Wed, Apr 22, 2020 at 9:41 AM Owen Ambur <Owen.Ambur@verizon.net> wrote:

  
Here's Google's top hit on "how does bias affect perception":  https://catalogofbias.org/biases/perception-bias/ 
 
 
BTW, this exchange prompted me to convert to StratML format the Perception Institute's about statement, at https://stratml.us/drybridge/index.htm#PRCPTN  I wonder if they've given any thought to engaging with AI/ML agent developers or vice versa.  Although their about statement makes no reference to "artificial" or "intelligence," I suspect they would have valuable expertise to lend to the cause of less biased algorithms.
 
 
Owen
 
 On 4/21/2020 8:00 PM, Paola Di Maio wrote:
  
 Bias can be very complex and not well organised imho (work to be done)
 looks like what you point to is perceptual.   
  On Wed, Apr 22, 2020 at 3:56 AM Owen Ambur <Owen.Ambur@verizon.net> wrote:
  
  
I haven't checked CEBM's catalog of biases to see if it includes this one -- https://rationalwiki.org/wiki/Style_over_substance -- but it seems highly relevant to the work of the AIKR CG.
 
Wikipedia's listing of cognitive biases -- https://en.wikipedia.org/wiki/List_of_cognitive_biases -- doesn't seem to reference it directly.  However, attractiveness is referenced in these biases:
 
 
https://en.wikipedia.org/wiki/Cheerleader_effect
 
https://en.wikipedia.org/wiki/Halo_effect
 
 
I also discovered a separate article on bias, which includes this one: https://en.wikipedia.org/wiki/Bias#Lookism 
 
 
Owen
 
 
 -------- Forwarded Message -------- 
| Subject:  | Re: IPTC draft credibility guidelines released for feedback |
| Date:  | Tue, 21 Apr 2020 15:19:22 -0400 |
| From:  | Owen Ambur <Owen.Ambur@verizon.net> |
| To:  | public-credibility@w3.org |

 
 
 
This is very good news, Brendan.
 
The NewsCode Scheme is now available in StratML Part 1, Strategic Plan, format at https://stratml.us/drybridge/index.htm#NCS
 
Here are some comments, for whatever they may be worth:
    
   - While we must deal with reality as it currently exists, we should also pursue continuous improvement.
   - We already have far too much "policy" in narrative format and far too few actual performance plans and reports, in open, standard, machine-readable format.
   - While "short cuts" (like stories) are essential in the routine of everyday life, they exclude information (i.e., reliable data) that may be critical for consideration when risks may be high.
   - HTML is a shortcut enabling the presentation of data.  https://stratml.us/references/FlashyVIntelligentWeb.pdf
   - The incumbents whose business cases and competitive advantages are based upon legacy data formats and the inefficiency of others should not be allowed to stand in the way of innovation and progress.
   - We should aim for more mature business processes.  https://en.wikipedia.org/wiki/Machine-readable_document
 
I take this reference as further confirmation of my bias toward the importance of the character of the content versus the style of the presentation:  https://rationalwiki.org/wiki/Style_over_substance 
 
 
I wonder if Miki paid Google to make this their top hit on "bias toward style versus substance": https://www.megumimiki.com/blog/bias-towards-style-over-substance-is-keeping-your-real-talent-hidden 
 
 
Surely, there must be an evolutionary basis for our often irrational attraction to attractiveness, commonly to the exclusion of factors more relevant to the achievement of our objectives. https://www.linkedin.com/pulse/artificial-ignorance-owen-ambur/
 
See, for example, https://www.sciencedirect.com/science/article/abs/pii/0162309595000682 
 
 
With reference to credibility "signals," this reference also uses that term: https://www.researchgate.net/publication/312719482_Evolutionary_Basis_of_Attraction 
 
 
Just some thoughts ... for whatever they might be worth.
 
Owen
 
 On 4/21/2020 5:06 AM, Brendan Quinn wrote:
  
  Hi Sandro and all, 
  I have something to share: we've released the first public draft of our "Expressing Trust and Credibility in IPTC Standards" document, as discussed in a CredWeb call back in November. 
  Here's our news item about it: https://iptc.org/news/public-draft-for-comment-expressing-trust-and-credibility-information-in-iptc-standards/
  
  All comments and feedback are gratefully accepted! 
  Best regards, 
  Brendan.  
  On Mon, 20 Apr 2020 at 23:49, Sandro Hawke <sandro@w3.org> wrote:
  
Let's skip this week.
 
 Stay safe, and feel free to send the group email about interesting & 
 relevant topics.
 
        -- Sandro