- 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