- From: Owen Ambur <Owen.Ambur@verizon.net>
- Date: Thu, 3 Sep 2020 17:04:30 -0400
- To: carl mattocks <carlmattocks@gmail.com>, W3C AIKR CG <public-aikr@w3.org>
- Cc: Paola Di Maio <paoladimaio10@gmail.com>, Chris Fox <chris@chriscfox.com>, Paul Alagna <pjalagna@gmail.com>, Justin Stoltzfus <stoltz_sj@hotmail.com>, "Jorge Sanchez." <jorgesr@zoho.eu>
- Message-ID: <b6dd2d1a-0490-c93a-a24f-9cd60796828a@verizon.net>
The "framework" is now available in StratML format at https://stratml.us/drybridge/index.htm#KVC Owen On 9/2/2020 10:02 AM, carl mattocks wrote: > > Confirming that the AI KR value chain will be the focus of our next > meeting on September 15 (invite to be sent separately). > In addition to ITIF's model (see below), as a use-case please review > The knowledge-value chain: A conceptual framework for knowledge > translation in health (Bulletin of the World Health Organisation ). In > particular, please peruse fig1. The mission, vision, goals and > strategies of a public health organization or social enterprise drive > the knowledge-value chain. The higher the knowledge performance > related to dyadic capabilities, the higher the value generated (Fig. 1). > > https://www.researchgate.net/publication/6869769_The_knowledge-value_chain_A_conceptual_framework_for_knowledge_translation_in_health > > > have a great weekend > > Carl Mattocks > co-chair AIKRCG > > It was a pleasure to clarify > > > On Tue, Sep 1, 2020 at 4:30 PM Owen Ambur <Owen.Ambur@verizon.net > <mailto:Owen.Ambur@verizon.net>> wrote: > > Carl, at the end of our televideo conference earlier today you > indicated intent to focus on the value chain at our next meeting > on September 15. So I thought you might like to see this > objective in ITIF's model for long-term U.S./Western > revitalization (in competition with China): > > Objective 3.5: Mindset > <https://stratml.us/carmel/iso/4PM4LTRwStyle.xml#_1ae3e5ae-ec8a-11ea-b213-32ff0183ea00> > - Develop a *value chain* mindset > > Other Information: Too often, U.S. companies have focused on the > top-down delivery and consumption of the end product, with > insufficient focus on the full industry value chain—from raw > materials to components, subsystems, logistics, and related > ecosystems. China has taken much more of a bottom-up approach, and > history shows that it’s easier to move up a value chain than down > one. Having visibility across the entire value chain is critical > strategically, but many companies still fall well short of this > goal, and most government agencies have relatively little > industry-specific value chain knowledge or data, with many > outdated data-collection and reporting processes. In this sense, a > thorough modernization and expansion of the federal economics and > business statistics system is long overdue. > > Among the implicit purposes of the StratML standard is to enable > value chains to built organically from the bottom up (as well as > the middle out), on a worldwide scale. > > AI is referenced in the following objectives in ITIF's "model": > > Objective 2.3: Advancement > <https://stratml.us/carmel/iso/4PM4LTRwStyle.xml#_1ae3d87a-ec8a-11ea-b213-32ff0183ea00> > - Be an advanced user > > Other Information: Pursue advanced technology usage. You don’t > have to be the biggest to be the best, and being a leader in > advanced technology usage is an excellent way to stay independent. > If Western businesses stay ahead in applying technology within > their respective industries, it will be difficult for China to > expand its success beyond physical traded goods. However, as > Chinese firms are investing heavily in AI and automation, > supported by Chinese governments with extremely generous tax and > grant programs, Western nations must do the same, in part by > ensuring tax, spending, and regulatory policies, as well political > rhetoric, favor such investments. As of now, they do not in most > Western nations, particularly as there is now widespread fear and > condemnation of advanced technology use, such as facial > recognition, *AI*, and robotics. > > Objective 3.1: Tech > <https://stratml.us/carmel/iso/4PM4LTRwStyle.xml#_1ae3df3c-ec8a-11ea-b213-32ff0183ea00> > - Make tech a national priority > > Other Information: Prioritize technology leadership. The United > States may or may not need a formal organization such as SEMATECH, > but systematically assuring that U.S. companies, universities, > government agencies, and defense companies are doing the necessary > R&D in critical areas such as *AI*, robotics, space, biotech, new > materials, cybersecurity, semiconductors, et al. remains a top > priority—with bipartisan support and expected legislation. > Although such coordination is complex and long term in nature, it > is of high symbolic and actual importance, and has a track record > of success. The United States has already taken modest steps > recently in this direction with its Manufacturing USA Network. > > Objective 4.2: IT Usage > <https://stratml.us/carmel/iso/4PM4LTRwStyle.xml#_1ae3ec3e-ec8a-11ea-b213-32ff0183ea00> > - Be a world-class IT user > > Other Information: Government policymakers often ask Leading Edge > Forum (LEF) and Information Technology and Information Foundation > (ITIF) what they can do to better support the technology industry, > and of course there is much discussion about education, > infrastructure, standards, R&D, and similarly important pursuits. > But what is usually missing is the importance of government using > technology effectively to meet its own needs. The best of example > of this is the Internet. The U.S. government didn’t set out to > build a national public infrastructure. (If it had, it would > probably have worked with AT&T to develop something like the > French Minitel system.) Instead, the U.S. Department of Defense > set out to meet its own needs for a highly resilient computer > network capability. The technologies behind that effort quickly > became the foundation of today’s Internet. There are many areas > wherein governments could help their domestic technology > industries by better meeting their own needs in, for example, > individual identity, authentication, cybersecurity, smart cities, > satellite communication, geo-positioning, autonomous systems, > health IT, fintech, *AI*, clean energy, and many other areas. > > Objective 4.3: Talent > <https://stratml.us/carmel/iso/4PM4LTRwStyle.xml#_1ae3ede2-ec8a-11ea-b213-32ff0183ea00> > - Remain a talent magnet > > Other Information: In advanced fields such as *AI*, robotics, > autonomous vehicles, and quantum computing, a relatively small > group of people do most of the pioneering work. Where do these > folks—and their families—want to live? Although China spends > lavishly to attract talent and provide world class resources, most > technology experts are still wary of moving there. Additionally, > many highly skilled people would prefer to live in an > English-speaking nation, as English is often either their first or > second language. This is a huge natural advantage for the United > States, United Kingdom, Canada, Australia, New Zealand, and, > increasingly, India. It needs to be nurtured and leveraged. > Helping spread tech hubs to a few more places across America would > make that strategy easier. > > Paola, Taiwan is prominently referenced the model (plan). > > Owen >
Received on Thursday, 3 September 2020 21:04:50 UTC