- 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