- From: Owen Ambur <Owen.Ambur@verizon.net>
- Date: Wed, 22 Apr 2020 13:13:21 -0400
- To: press@datainnovation.org, Jose-Marie Griffiths <josemarie@gmail.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <c5e085f5-6572-4ad1-9339-3bb26adda61a@verizon.net>
Here are a dozen points I took from the webinar:
1. The US government needs to cooperate more with the private sector
2. Government-led solutions are not effective in this space
3. The EU has a "beautiful" framework but interoperability is an issue
4. Accountability and transparency are needed but how to provide them
is unclear
5. Best practices should be identified and applied across sectors
6. Policy should be more than words on paper
7. Performance plans are needed
8. The "architecture" for policy making should be opened up
9. A middle-out approach should be pursued
10. Cooperation models are already in place
11. Decision making should be accelerated but standards for doing so
haven't been identified
12. Everyone acts on the basis of self-interest but we can reach out to
each other based upon common interests in support of our shared values
From my perspective, each of these points is a requirements statement
for application of the StratML standard (ISO 17469-1).
Thanks to Eline for making points 6 & 7.
Point 9 highlights the need and opportunity for intermediary service
providers to help connect performance plans from the bottom up and top
down, enabled by the StratML standard.
"Frameworks" are inherently fuzzy; they need to be more fully specified
as performance plans. Unless and until they are, they are just words on
paper.
The same is true of "models". Even if they can be discovered, acting on
them is beyond the capabilities of most stakeholders.
With respect to point 11, decisions should be based upon reliable
evidence. In the U.S. the Federal Evidence-Based Policymaking Act
(FEBPA) builds upon the guidance previously provided in section 10 of
the GPRA Modernization Act (GPRAMA) to make not only performance plans
and reports machine-readable by default but also all other public
records. Perhaps the best thing that might be done to accelerate
well-informed decision making is to accelerate international adoption of
the good practice set forth in those laws, based upon schemas specified
by international voluntary consensus standards development
organizations.
https://www.linkedin.com/pulse/open-machine-readable-government-owen-ambur/
|
https://www.linkedin.com/pulse/open-gov-data-act-machine-readable-records-owen-ambur/
BTW, since Canada's AI strategy was mentioned at the end of the webinar,
it is now available in StratML format at
https://stratml.us/drybridge/index.htm#PCAIS
Owen
https://www.linkedin.com/in/owenambur/
-------- Forwarded Message --------
Subject: Watch Now: How to Deepen Transatlantic Ties in AI and
Cybersecurity
Date: Wed, 22 Apr 2020 13:59:48 +0000
From: Center for Data Innovation <info@datainnovation.org>
Reply-To: Center for Data Innovation <info@datainnovation.org>
To: Owen Ambur <Owen.Ambur@verizon.net>
*How to Deepen Transatlantic Ties in
AI and Cybersecurity*
*
*
As AI becomes more widely adopted, these new systems face both
traditional cybersecurity challenges and new threats. For example,
adversaries can poison the data used to train a machine learning model
or subvert the input fed to an automated system to manipulate outcomes.
These potential vulnerabilities pose substantial risks to consumers,
since AI is increasingly integrated in products such as smart home
devices, medical implants, autonomous vehicles, drones, and more, as
well as IT systems used in sectors such as health care, education, and
government. Addressing these challenges will require global cooperation.
As transatlantic allies bound by common values and with a shared
interest in promoting the digital economy, the United States, Canada,
and the EU could take the lead by collaborating on a joint initiative
for better cybersecurity for AI.
Join the Center for Data Innovation for a video webinar to discuss the
transatlantic opportunities for promoting better cybersecurity in AI,
and the ways in which policymakers could promote these initiatives.
https://www.datainnovation.org/2020/04/how-to-deepen-transatlantic-ties-in-ai-and-cybersecurity/
Received on Wednesday, 22 April 2020 17:13:37 UTC