National AI Capital - Definition 2.0
October 25, 2020 - Countries – prepare to be evaluated!
Initial Global Survey on the topic of National AI Capital was conducted on more than 200 AI experts from 56 countries on all of the continents. The concept was confirmed and validated as very meaningful and useful, and many other interesting data was gathered. Some details you can find in already published reports:
Part 1: NAIC Part 1 of Initial Global Survey: How important is the concept of National AI Capital?
Part 3: NAIC Part 3 (IGS): Future of AI investments and their consequences?
As suggested, we created 3 types of NAIC definition – one very short and useful for practical and everyday communication, second (full) – with more details and nuances, that are important for understanding it completely and future research, and third (elaborated) – providing overall context and broader explanation of different segments.
1. NAIC Definition Short
The capacity of a country to develop and apply AI, and deal with the challenges of AI in order to increase social and economic competitiveness.
2. NAIC Definition Full
The capacity of a country to ethically develop and apply AI, and cope with challenges and opportunities of various AI matters and its transformational impact, in order to increase the country's/citizens' social and economic well-being and national competitiveness in a sustainable manner.
3. NAIC Definition Elaborated:
National AI Capital as is currently defined, is comprised of 3 core factors/parts.
The first factor is the capacity to perform in developing AI tools, implementing them whether created by them or the others and manage a broad and unpredictable range of incoming challenges and opportunities in the AI field. The general aspiration is to build capacity to manage its transformational potential and impact.
The second part is the areas where the consequences and the goals of implementation of high or low-level activities should be visible. It should affect the general well-being and quality of life of its citizens. It should improve the economic position of the country, and increase the overall competitiveness and help societies to become more equal. As a final consequence, it should boost the creative potentials and evolution of humankind.
The third part is about the context in which it happens. In general, nations should follow high ethical standards, aiming at transparency and explainability, avoiding biases, and achieving maximum fairness. It should be human-centered and have an impact on common people and their equality, and high adoption on all levels. Good AI governance should ensure exchange and sharing of knowledge for solving global problems and secure the resources in strategic segments where economic/market forces are not available.
We are glad to be recognized as a part of the Croatian AI Landscape.
CRO AI Landscape
In the last part of the report, we will complete all segments of the methodology that is going to be used in the research.
COOPERATION: For the second phase we will enlarge the number of academic institutions, AI/tech associations, companies that are willing to sponsor/participate and contribute media who will become partners will get new data and articles first.
If you are interested in collaboration, in any of those segments — contact me at This email address is being protected from spambots. You need JavaScript enabled to view it.
Donations
If you want to support this project further and share your enthusiasm, feel free to donate symbolic amounts of Ethereum (ETH) to this address: 0x29e574B5A65e1d7De2B177b53996A26A6729514F
To learn more about this topic, please check Aco's profile on Medium.com.
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Introducing the Concept of National AI Capital
September 3, 2020 - The world of AI is transforming the way we do things. Meet the new concept of National AI Capital.
In my Human Resources career, I was working on different Human Capital related topics, from different angles. Since it is obvious that we are globally becoming an economy that is much more dependent on human capital, then on any other form of capital, I spent some time researching it a bit deeper. Some of my thoughts will be published soon. But as a part of the Human Capital story, I also researched and wrote about different aspects of Artificial Intelligence and how it would impact individuals, organizations, societies and nations / countries.
Based on that, I coined a new concept – National AI Capital, or NAIC in short. It is related in some ways with Human Capital, and in a complex relationship that needs to be explored further.
The working definition would be:
NAIC – the country’s capacity to apply and develop, and cope with the challenges of various artificial intelligence systems, in order to increase the country’s social and economic well-being and competitiveness.
We already know that countries are differentiating based on their Human Capital Index Map – measured by the World Economic Forum and that it will make even bigger differences if some countries start lagging back even more.
It is not hard to predict that development in different AI practices and the implementation of those projects could give an exponential advantage to some countries or companies. A short overview is available in my article, Use of Artificial Intelligence: Comparison between countries. Because of that, it would be reasonable to address this issue globally, and as soon as possible, while the differences are not dramatic.
Strategies to address that problem, will give some answers to many questions. Who is now, and who will be responsible for the creation of AI capital of a country? Today, when we have 9 corporations doing an enormous job in the AI field, we need to predict or empower other stakeholders to do their part. To differentiate the AI power. Is it going to be Academia and different Universities, AI start-ups funded by more and more venture capital, Government institutions and large scale projects or all of them in some amount, will be answered differently in every country or continent.
And of course, there are different fields of AI that some country could put their focus on. Depending on their specific needs and resources, they could focus on – Healthcare, Marketing, Business Intelligence, Security, Finance, Military, Customer Experience or Education segment, which I mentioned in one of my previous articles: AI Education System: What Can We Expect and Hope for in Croatia? What Can We Expect and Hope for in Croatia?)
As for the initial measurement of NAIC, the methodology will be finished and polished in the next months, since I am working with many organizations and individuals from a few countries to finalize some details and gather data from the initial survey that you can check here!
Assumptions were that those factors could be taken into consideration for equation or profile of a single country:
- number of engineers/developers working in the field (in the country)
- number of engineers/developers dealing with related fields (in the country)
- number of AI start-ups (of that country)
- number of national AI development projects
- level of investment in AI projects (in the country)
- number of AI system implementations at the state level
- the amount of data collected and structured that can be used to develop AI
- connection of AI scene with world projects and knowledge exchange
- percentage (%) of jobs substituted by AI and automatization
- amount of scientific/research papers
- national long term AI vision and strategy
- something else ____
The final goal is to have NAIC definition similar to the OECD definition of Human capital - "knowledge, skills, competencies and characteristics of individuals that facilitate the creation of personal, social and economic well-being. But also the practical methodology that can measure NAIC and compare countries, and give them as feedback useful information to develop and align their national AI and HC strategies.
Take part in the initial National AI Capital survey here.
Aco Momcilovic
08/2020
FutureHR
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