The document discusses the GlobalAIIndex, which ranks nations according to their capacity for artificial intelligence. It does this by measuring national ecosystems across three pillars: implementation, innovation, and investment. The implementation pillar looks at talent, infrastructure, and operating environment. The innovation pillar focuses on research, development, and patents. The investment pillar examines commercial venture capital and government strategy. The index includes over 100 input metrics for 54 countries and is intended to highlight effective and ineffective AI practices among nations.

1. GlobalAIIndex
Eng. Mohammad R. Katby
Technical Consultant

2. GlobalAI Index
• First to rank nations according to their capacity for
artificial intelligence
• Draws on a broad range of sources, to measure the
national ecosystems on which the use of artificial
intelligence depends.
Rank for 54 nations comprises scores
in over 100 input metrics; these
indicators are organized into three
main pillars
• Implementation
• Innovation
• Investment
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Nation X
Implementation Innovation Investment

3. The Story
Narratives surrounding the development of artificial
intelligence
• Push forward the frontiers of scientific knowledge in the name of creating a better world.
• The race for technological supremacy in military and cyber security
• Potential for significantly impacting economic growth
This complexity and varieties are a challenge for
governments
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4. The Story (2)
• Global AI Index is born from
• Conversation with governments that developing , and implementing policy-based initiatives around AI
• World Economy Forum Framework for Developing a National Artificial Intelligence Strategy
• Global AI Index is intended to highlight the areas in which different nations are excelling, disclosing effective and
ineffective practices
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5. Introduction
• Nations are announcing that they view AI as a transformative technology
• Economic growth
• Social advances
• From 2017 upwards of 30 national AI Strategies have been announced
• future is increasingly driven by artificial intelligence
• Citizens, governments, businesses, academics and civil institutions all must engage with this wave of change
• Each actor has a part to play in the global development of AI
• Many communities are beginning to see the effects of
• predictive technologies, enabled by machine learning, in their attempts to get insurance,
• find a home or learn a new language.
• Many governments are deepening their involvement in
• Implementation of AI in public services,
• investment opportunities and potential centers of innovation
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6. NationalAI strategies released
Global AI Index asks how well
positioned businesses, communities
and governments around the world
are in relation to these risks and
opportunities

7. Importance of Structure
The structure is important for two reasons
• Helps to define the concept of The Global AI Index and the way indicators are grouped together
• demonstrate the reasons how pilers are all contributors to the overall measure of capacity.
Capacity
• In alignment with the OECD ‘Handbook on constructing composite indicators’ it is multi-dimensional concept and the
underlying model around which the individual indicators of The Global AI Index are compiled.
• The amount of something that a system can contain or produce
• appropriate means of considering the relationship between the different relevant factors that exist within a given nation
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8. Capacity
• Increased Capacity (Greater adoption of AI) mean both
• Raising Quantity of Systems, Initiatives, and personnel are becoming active in the fields – quantitive aspect
• Improving nation ability manage and sustain AI system in productive, safe and faire way – qualitative aspect
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9. The Structure of GlobalAI Index
• Implementation metrics reflect the operationalizing of AI by
practitioners in business, government and communities
• Talent
• Infrastructure
• Operating Environment
• Innovation metrics reflect technology breakthroughs and
advancements in methodology that are indicative of greater
capacity for AI in the future
• Research
• Development
• Investment metrics reflect financial and procedural
commitments to AI.
• Commercial Venture
• Government Strategy
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Nation X
Implementation Innovation Investment

10. Implementation Pillar
Talent
AI is implemented by people. This refers to the everyday practitioners of AI who are employed by the public and private
sector to apply technology to specific problems.
Infrastructure
Reliable infrastructure from basic electricity and internet access, as well as super computing capabilities10 and deep
databases are required to sustain and build on artificial intelligence solutions of different kinds.
Operating Environment
Technologies thrive when the wider society approve of them. Countries should also focus on developing strong public
information initiatives, trust, and recognition in the public sphere.
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11. Innovation Pillar
Research
Research and researchers generate new ideas in AI. Capacity as a result of research is substantially based upon the level of
activity amongst research communities and the extent to which they share and propagate ideas.
Development
Innovation is demonstrated by the development of new techniques and advancements - especially in the field of AI.
Development, in these terms, is the addition of new models, techniques and products to existing fundamental platforms.
Patents, and the level of activity on open-source fundamental packages for artificial intelligence are an indicator of capacity
through development.
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12. Investment Pillar
Commercial Venture
Responsible for a large proportion of the implementation of AI around the world. The scale, funding and volume of these
businesses is a contributor to capacity.
Government Strategy
Collection of publications outlining approaches to digital transformation, innovation and artificial intelligence - are an
important aspect of capacity on a national scale, they detail commitments to invest, align interests in research communities
and express a macro-level approach to combining useful factors.
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13. Indicator Selection Criteria
• Relevant
• Each of variable speaks to a contemporary policy area, or ongoing conversation in business.
• For example, ‘Number of Paper in accepted IEEE Papers on artificial intelligence topics’ is a factor that features regularly in
contemporary discussion.
• Relatable
• Many of variables is selected to be accessible to specialists and non-specialists alike.
• The phrasing of each indicator should be clear and understandable.
• Sizable Contribution
• indicators are widely referenced and considered based on their significance
• For example, the ‘Number of Data Scientists’ is widely seen as making a significant contribution to capacity.
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14. Establishing relevance & definitions
• Artificial Intelligence’ itself is inconsistent. This is due to a lack of consensus when it comes to identifying the cluster of
technological products and methodologies that make up this domain
• Below is a compilation of the keywords used across the range of analysis conducted involving web scraping and
searching.
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Artificial Intelligence Supervised Learning Computer Vision Speech Recognition
Machine Learning Unsupervised Learning Image Recognition Intelligence Systems
Deep Learning Neural Networks Facial Recognition Virtual Assistant
Reinforcement Learning Natural Language Processing Face Recognition Autonomous Vehicle
Predictive Analytics Robotics Self-Driving

15. Nations included inThe GlobalAI Index
Argentina Hong Kong Mexico Spain
Australia Hungary Morocco Sri Lanka
Austria Iceland New Zealand Sweden
Belgium India Nigeria Switzerland
Brazil Indonesia Norway Taiwan
Canada Ireland Pakistan The Netherlands
China Israel Poland Tunisia
Czech Republic Italy Portugal Turkey
Denmark Japan Qatar
United Arab
Emirates
Egypt Kenya Russia Singapore
Estonia Lithuania Saudi Arabia United Kingdom
United States of
America Uruguay Finland Luxembourg
France Malaysia South Africa Germany
Malta South Korea
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16. Example – Data Sources
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17. Demo
View Interactive Map
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18. References
• https://www.tortoisemedia.com/wp-content/uploads/sites/2/2020/03/191203-AI-Index-launch_Notes.pdf
• https://www.tortoisemedia.com/intelligence/ai
• https://www.tortoisemedia.com/wp-content/uploads/sites/2/2020/03/191203-AI-Index-launch_Notes.pdf
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19. ThankYou
Eng. Mohammad R. KATBY
+966 535 739 476
morikapt@gmail.com
linkedin.com/in/morika/