- From: Owen Ambur <Owen.Ambur@verizon.net>
- Date: Tue, 23 Mar 2021 15:16:56 -0400
- To: Hodan Omaar <hodan.omaar@gmail.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>, Maureen Korzik <wachhi@gmail.com>, Jorge Sanchez <jorgesr@zoho.eu>
- Message-ID: <7a8ab985-4e12-ad56-dd76-780ecbd3f170@verizon.net>
Hodan, for whatever they may be worth, here are some comments on key points made by you and your panelists today <https://datainnovation.org/2021/03/how-to-deepen-transatlantic-cooperation-in-ai-for-defense/>: * Joanna - What does accountability mean in actual practice? She suggested that it means leadership. Accountability requires records. Scalable accountability requires machine-readable records. https://en.wikipedia.org/wiki/Machine-readable_document <https://en.wikipedia.org/wiki/Machine-readable_document> * Raluca - With respect to hierarchy, we need to think outside the box. The traditional conceptualization of "leadership" reflects artificially ignorant <https://www.linkedin.com/pulse/artificial-ignorance-owen-ambur/> inside-the-box thinking. It absolves us from taking personal responsibility for doing what we ourselves can do, in partnership with those who share our values and objectives. Brittle hierarchies and outmoded power structures <http://ambur.net/French&Raven.htm> should be supplanted by dynamic networks supported by online services enabling collaboration to realize common and complementary objectives. How long The Politics Industry <https://www.linkedin.com/pulse/politics-industry-v-we-people-magic-formula-owen-ambur/> might be capable of thwarting the realization of such results-oriented networks (Communities of Results) remains to be seen. Thus far, the federal bureaucracy here the U.S. has avoided accountability for compliance with section 10 <https://www.linkedin.com/posts/owenambur_open-machine-readable-government-activity-6751906006801903616-9nt1> of the GPRA Modernization Act for a decade and counting. * Christie - The U.S. has published AI design principles and has one of the most transparent processes for the development of AI-enabled weapons. * Ulrike - The U.S. is actually developing more advanced AI policies that the EU is merely talking about, but Europeans are still skeptical of U.S. intentions. There may be differences in values. They should be reflected in strategies. * You - It is not clear what the EU strategy is. * Joanna - Can't really do much without an agreed upon plan and data is foundational. * Raluca - Referenced the relevance of international standards and the need for a vision of the future of defense as well as a strategy for AI within the broader context. * Christie - The U.S. is interested in working with allies who are interested in working with us. Once a data sharing model has been developed, it can be rolled out to others. * Joanna - Begin by sharing non-sensitive data. Strategy Markup Language (StratML) is the international data standard (ISO 17469-1 <https://www.iso.org/standard/59859.html>) for sharing the content of strategic plans, and StratML Part 2 (formerly ANSI/AIIM 22:2017) specifies the additional elements required for performance plans and reports. Such plans and reports are essential records for purposes of accountability. The desire to move beyond talk to collaborative action is evidenced by the publication of performance plans with specified objectives, metrics, timelines, stakeholders, and interlinkages (enabled, leveraged, tracked and reported by value-added intermediaries). Several of NATO's plans are available in StratML format at https://stratml.us/drybridge/index.htm#NATO This Google site-specific query <https://www.google.com/search?q=artificial+intelligence+site%3Astratml.us&domains=stratml.us&sxsrf=ALeKk02nLqTGUiSml99j6D0-9K4stGKh5g%3A1616522979408&ei=4y5aYNqjGJeZwbkPmpi_6AI&oq=artificial+intelligence+site%3Astratml.us&gs_lcp=Cgdnd3Mtd2l6EAxQAFgAYPKwAmgAcAB4AIABmQGIAZkBkgEDMC4xmAEAqgEHZ3dzLXdpesABAQ&sclient=gws-wiz&ved=0ahUKEwiaodWvgcfvAhWXTDABHRrMDy0Q4dUDCA0> reveals that about 185 of the >5K files plans in the StratML collection reference "artificial intelligence," including the U.S. DoD's 2018 AI strategy <https://stratml.us/metaformixis/DODAIS.pdf>. See also StratML use case 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. It will be interesting to see who truly wants to collaborate and how they plan to do so. https://connectedcommunity.net/ Owen https://www.linkedin.com/in/owenambur/
Received on Tuesday, 23 March 2021 19:17:18 UTC