- From: Paola Di Maio <paoladimaio10@gmail.com>
- Date: Wed, 22 Apr 2020 10:36:17 +0800
- To: Owen Ambur <Owen.Ambur@verizon.net>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=SrCb+1gUNVHN9FezCC4-HDkD5Bc6XWWhhf8yfo4groNDg@mail.gmail.com>
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 >> <https://stratml.us/drybridge/index.htm#COB> 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> <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: >> >> 1. While we must deal with reality as it currently exists, we should >> also pursue continuous improvement. >> 2. 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. >> 3. 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. >> 4. HTML is a shortcut enabling the presentation of data. >> https://stratml.us/references/FlashyVIntelligentWeb.pdf >> 5. 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. >> 6. 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 >>> >>> >>>
Received on Wednesday, 22 April 2020 02:37:10 UTC