Re: C4DI AI Strategy for the U.S.

Dear Owen,
Thanks for this update. My question: do you have any knowledge of comparable guidelines for other countries for review?
Since AI like the internet knows no boundaries, all standards and guidelines at national levels have to become compatible.
E.g. do you know of any comparable guidelines in Australia, UK, Canada and New Zealand and the European Union? Milton Ponson
GSM: +297 747 8280
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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 Monday, January 14, 2019 2:40 PM, Owen Ambur <Owen.Ambur@verizon.net> wrote:
 

 <!--#yiv4621444918 _filtered #yiv4621444918 {font-family:"Cambria Math";panose-1:2 4 5 3 5 4 6 3 2 4;} _filtered #yiv4621444918 {font-family:Calibri;panose-1:2 15 5 2 2 2 4 3 2 4;}#yiv4621444918 #yiv4621444918 p.yiv4621444918MsoNormal, #yiv4621444918 li.yiv4621444918MsoNormal, #yiv4621444918 div.yiv4621444918MsoNormal {margin:0in;margin-bottom:.0001pt;font-size:11.0pt;font-family:"Calibri", sans-serif;}#yiv4621444918 a:link, #yiv4621444918 span.yiv4621444918MsoHyperlink {color:blue;text-decoration:underline;}#yiv4621444918 a:visited, #yiv4621444918 span.yiv4621444918MsoHyperlinkFollowed {color:purple;text-decoration:underline;}#yiv4621444918 p.yiv4621444918msonormal0, #yiv4621444918 li.yiv4621444918msonormal0, #yiv4621444918 div.yiv4621444918msonormal0 {margin-right:0in;margin-left:0in;font-size:11.0pt;font-family:"Calibri", sans-serif;}#yiv4621444918 span.yiv4621444918EmailStyle19 {font-family:"Calibri", sans-serif;}#yiv4621444918 .yiv4621444918MsoChpDefault {} _filtered #yiv4621444918 {margin:1.0in 1.0in 1.0in 1.0in;}#yiv4621444918 div.yiv4621444918WordSection1 {}-->The goals and objectives set forth in the Center for Data Innovation’s (C4DI) proposed AI strategy for the U.S. are now available in StratML format at http://stratml.us/drybridge/index.htm#C4DINAIS    These objectives are closely related to the purposes of the StratML standard:  Objective 2.1.7.1: Performance & Safety Standards - Publish performance and safety standards for various key military AI applications  Performance should be reported in an open, standard, machine-readable format, as ostensibly required of U.S. federal agencies by section 10 of the GPRA Modernization Act.  https://www.linkedin.com/pulse/open-machine-readable-government-owen-ambur/   Objective 3.1: Sector Strategies - Create strategies for supporting AI adoption in relevant sectors  Such strategies should be documented and shared in an open, standard, machine-readable format, leveraging the stratml:Relationship elements to enable synergistic strategic alignment across plans, organizations, and sectors.  Objective 5.1: Accountability - Encourage adherence to the principle of algorithmic accountability  Lacking performance metrics shared in a readily usable format, the concept of “accountability” is pretty meaningless.  Anyone’s preconceived biases are as good as anyone else’s.  BTW, perhaps I may be wrong but it seems to me that attempting to constrain AI by geopolitical boundaries is not only artificially ignorant but, ultimately, also an exercise in futility.  Owen AmburChair, StratML Working GroupCo-Chair Emeritus, xml.gov CoPWebmaster, FIRMProfile on LinkedIn | Personal Home Page

   

Received on Tuesday, 15 January 2019 14:00:41 UTC