- From: Owen Ambur <Owen.Ambur@verizon.net>
- Date: Mon, 14 Jan 2019 13:39:44 -0500
- To: <public-aikr@w3.org>
- Message-ID: <020c01d4ac38$8539f0e0$8fadd2a0$@verizon.net>
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: <http://stratml.us/carmel/iso/C4DINAISwStyle.xml#_4751ec6e-1827-11e9-8fa1-8a76d5e8efbc> 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: <http://stratml.us/carmel/iso/C4DINAISwStyle.xml#_475211ee-1827-11e9-8fa1-8a76d5e8efbc> 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 <http://stratml.us/references/oxygen/PerformancePlanOrReport20160216_xsd.htm#Relationship> to enable synergistic strategic alignment across plans, organizations, and sectors. Objective 5.1: <http://stratml.us/carmel/iso/C4DINAISwStyle.xml#_47523fe8-1827-11e9-8fa1-8a76d5e8efbc> 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 <https://www.linkedin.com/pulse/artificial-ignorance-owen-ambur/> but, ultimately, also an exercise in futility. Owen Ambur Chair, <http://stratml.us/> StratML Working Group Co-Chair Emeritus, <http://xml.govwebs.net/> xml.gov CoP Webmaster, <http://firmcouncil.org/> FIRM <https://www.linkedin.com/in/owenambur> Profile on LinkedIn | Personal <http://ambur.net/> Home Page
Received on Monday, 14 January 2019 18:40:12 UTC