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National AI Strategy:
Unlocking Tunisia’s capabilities potential
Framework, Methodology & Action Plan
On behalf of the AITF-SC
Prof. Jelel Ezzine
AITF-SC Scientific Coordinator
Tunisia, April 20th, 2018
ENIT
ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 1
Outline
1. The clarion call
2. A forward looking and contextualized AI Strategy
3. Joining the AI race: Opportunities and challenges
4. Full steam ahead: Framework and methodology
5. Action plan
6. … a debut of solution.
ENIT 30-Apr-18 2National AI-Strategy (AITF-SC)
The clarion call
“Whoever becomes the leader in
this sphere [AI] will become the
ruler of the world.” – Vladimir Putin
ENIT 30-Apr-18 3National AI-Strategy (AITF-SC)
The clarion call
The AI revolution goes beyond technology!
? AI to produce a global GDP impact of $15.7 T by 2030
? Composed of 60% consumption & 40% productivity
? AI to add 1.2% - 2% to gross value added (GVA) to
G20 economies in 2035
? AI strategies (2017 ): USA, China, Japan, United
Kingdom, Germany, & UAE
? Other countries are making progress: Canada,
Finland, France, India, Iran, Pakistan … & Tunisia!
ENIT 30-Apr-18 4National AI-Strategy (AITF-SC)
A forward looking and contextualized
AI Strategy
This ambitious collective endeavor and similar ones should:
? Spark a scientific, technological and industrial revolution
reminiscent of the People’s Revolution,
? Reboot Tunisia’s socio-economic development through a smart re-
industrialization focused on social impact rather than on impact
factors, and
? Advocate mission oriented innovation and industrial policies to help
Tunisia advance and gain a regional and global foothold in
promising and high value added industrial and service niches.
ENIT 30-Apr-18 5National AI-Strategy (AITF-SC)
AI-Strategy conceptual pyramid
ENIT 30-Apr-18 6National AI-Strategy (AITF-SC)
High potential to join the AI race:
Opportunities and challenges
? pre-revolution Tunisia saw its GDP grow by 3.5%
annually during the 2008-2010
? resulting in a GDP per capita of EUR 3.310 in 2011,
and
? 51% (45% Services, 10% TIC) contribution to the GDP
from export
ENIT 30-Apr-18 7National AI-Strategy (AITF-SC)
High potential to join the AI race:
Opportunities and challenges
Tunisia was found in 2008 to:
? Display the highest economic complexity in Africa
? Rank 47th worldwide as measured by the ECI
? Have a relatively low rank 80 in income per capita
Giving it a considerable rapid
catching up potential.
ENIT 30-Apr-18 8National AI-Strategy (AITF-SC)
High potential to join the AI race:
Opportunities and challenges
ENIT 30-Apr-18 9
Network readiness framework
National AI-Strategy (AITF-SC)
High potential to join the AI race:
Opportunities and challenges
? Affordability is the only pillar where Tunisia, with
Morocco, perform better than the remaining benchmark
countries,
? Infrastructure is the only pillar where Tunisia
outperforms the two Arab benchmark countries. As to
the skills pillar Tunisia is outperformed by all benchmark
countries but Morocco,
? For the remaining seven pillars Tunisia is outperformed
by the five benchmark countries besides the Economic
impact one where it is last with Morocco.
ENIT 30-Apr-18 10National AI-Strategy (AITF-SC)
Full steam ahead:
Framework and methodology
ENIT 30-Apr-18 11
? Learning Societies (LS) thrive in
? Knowledge Economies (KE) capable of
creating, disseminating, and using knowledge
through a viable National Innovation System
(NIS) where
? productivity is achieved through
? Learning-by-Doing!
National AI-Strategy (AITF-SC)
Full steam ahead:
Framework and methodology
ENIT 30-Apr-18 12
Economic complexity and opportunity value analysis, 2010
National AI-Strategy (AITF-SC)
Full steam ahead:
Framework and methodology
ENIT 30-Apr-18 13
? ECI doesn’t measure the complexity of an economy only, it
also
? Suggests development pathways making of it a practical
roadmap for
? Smart reindustrialization.
? Given Tunisia’s comparative low income level relative to its
economic complexity, it
? Could leap-frog its simple types of manufacturing to focus
on more advanced products aided, entre autres, by a
vibrant and mission-oriented AI-ecosystem.
National AI-Strategy (AITF-SC)
Full steam ahead:
Framework and methodology
ENIT 30-Apr-18 14
International AI innovation literature revealed that the
simplest conceptual model could be based on three main
pillars:
1. Seedbed: R&D, Data, and TIC infrastructure
2. Talents: Capacity mobilization and enhancement, and
3. Enablers: Multi-stakeholders partnerships and policy
National AI-Strategy (AITF-SC)
Full steam ahead:
Framework and methodology
ENIT 30-Apr-18 15
AI three-pillars ecosystem
National AI-Strategy (AITF-SC)
Full steam ahead:
Framework and methodology
ENIT 30-Apr-18 16
Three-Horizons thinking applied to the transition to the desired AI-ecosystem
National AI-Strategy (AITF-SC)
Full steam ahead:
Framework and methodology
ENIT 30-Apr-18 17
Three types of Innovation are required:
1. Catching-up: Narrow the gap vis-à-vis leader
countries
2. Inclusive: Target directly the needs of low-income
population, and
3. Leapfrogging: Skipping inferior, less efficient, etc.
technologies and move directly to more advanced
ones.
National AI-Strategy (AITF-SC)
Full steam ahead:
Framework and methodology
ENIT 30-Apr-18 18
3X3 AI National Strategy Conceptual Space
National AI-Strategy (AITF-SC)
Proposed Action Plan
ENIT 30-Apr-18 19
Strategic Objectives:
1. Complete package of systemic policy, funding programs and
activities must be put in place in order to establish Tunisia as a
regional lead market and provider of AI solutions by 2030,
2. Actions oriented to major priority areas, rather than to specific
technologies and research programs, and
3. Needs-driven application-oriented strategic cooperation flagship
projects between Science, Industry and State where industry
partners participate in the financial cost.
National AI-Strategy (AITF-SC)
Proposed Action Plan:
Thematic Work Groups (TWGs)
ENIT 30-Apr-18 20
1. R&D in Data Sciences and AI (DS&AI): capabilities,
capacities and activities,
2. Capacity building in DS&AI, open-source resources
and related SHS fields,
3. SMEs and Start-ups in DS&AI and related industries
and service activities,
4. Digitization and DS&AI readiness and
corrective/enabling policies,
5. Regional and international, benchmarking and
cooperation as a lever for DS&AI rapid development.
National AI-Strategy (AITF-SC)
Proposed Action Plan:
Multi-Stakeholders Partnerships Work Groups
(MPWGs)
ENIT 30-Apr-18 21
1. Public health and pharmaceutical industry,
2. Water-energy-food (WEF) nexus,
3. Banking, finance and insurance sector,
4. e-government and e-business issues and
challenges,
5. AI and Arabic/Tunisian language processing.
National AI-Strategy (AITF-SC)
Objectives Tasks Time Frame Resources
1-Collecting feedback
and contributions
Reporters’ notes + April 27, 2018 Two reporters from
AITF-SC
2- Updating the
presentation
Introducing the
needed changes
April 30,2018 AITF-SC
3- Finalizing the AI
Strategy Concept
Paper (AISCP)
Writing the final
document
May 15, 2018 AITF-SC
4- Constituting the
Work Groups (WG)
Identify and secure
agreement of
members, share
AISCP.
May 21, 2018 SS, ANPR, AITF, AITF-
SC, +
5- Meeting with all
WGs to launch the
process
Workshop: Discuss
and finalize detailed
action plans for each
WG.
June 2, 2018 AITF-SC + WG
members
ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 22
Objectives Tasks Time Frame Resources
6- Restitution of draft
reports
Workshop:
discussion,
harmonization and
alignment with AISCP
August 4, 2018 AITF-SC + WG
members
7- Submitting final
reports
Sending final report. August 18, 2018 WGs leaders.
8- Printing WGs
contributions booklet
Reviewing, editing
and finalizing booklet
September 22, 2018 AITF, AITF-SC, ANPR,
WGs leaders
9- Diffusing and
informing
stakeholders
Workshop to present
and discuss Booklet
September 29, 2018 SS, AITF, AITF-SC,
ANPR, WGs, Partners
and Stakeholders
10- Announcing and
make public the
National AI Strategy.
National conference January 12, 2019 SS, AITF, AITF-SC,
ANPR, WGs, Partners
and Stakeholders
ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 23
ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 24
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National AI Strategy: Unlocking Tunisia’s capabilities potential

  • 1. National AI Strategy: Unlocking Tunisia’s capabilities potential Framework, Methodology & Action Plan On behalf of the AITF-SC Prof. Jelel Ezzine AITF-SC Scientific Coordinator Tunisia, April 20th, 2018 ENIT ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 1
  • 2. Outline 1. The clarion call 2. A forward looking and contextualized AI Strategy 3. Joining the AI race: Opportunities and challenges 4. Full steam ahead: Framework and methodology 5. Action plan 6. … a debut of solution. ENIT 30-Apr-18 2National AI-Strategy (AITF-SC)
  • 3. The clarion call “Whoever becomes the leader in this sphere [AI] will become the ruler of the world.” – Vladimir Putin ENIT 30-Apr-18 3National AI-Strategy (AITF-SC)
  • 4. The clarion call The AI revolution goes beyond technology! ? AI to produce a global GDP impact of $15.7 T by 2030 ? Composed of 60% consumption & 40% productivity ? AI to add 1.2% - 2% to gross value added (GVA) to G20 economies in 2035 ? AI strategies (2017 ): USA, China, Japan, United Kingdom, Germany, & UAE ? Other countries are making progress: Canada, Finland, France, India, Iran, Pakistan … & Tunisia! ENIT 30-Apr-18 4National AI-Strategy (AITF-SC)
  • 5. A forward looking and contextualized AI Strategy This ambitious collective endeavor and similar ones should: ? Spark a scientific, technological and industrial revolution reminiscent of the People’s Revolution, ? Reboot Tunisia’s socio-economic development through a smart re- industrialization focused on social impact rather than on impact factors, and ? Advocate mission oriented innovation and industrial policies to help Tunisia advance and gain a regional and global foothold in promising and high value added industrial and service niches. ENIT 30-Apr-18 5National AI-Strategy (AITF-SC)
  • 6. AI-Strategy conceptual pyramid ENIT 30-Apr-18 6National AI-Strategy (AITF-SC)
  • 7. High potential to join the AI race: Opportunities and challenges ? pre-revolution Tunisia saw its GDP grow by 3.5% annually during the 2008-2010 ? resulting in a GDP per capita of EUR 3.310 in 2011, and ? 51% (45% Services, 10% TIC) contribution to the GDP from export ENIT 30-Apr-18 7National AI-Strategy (AITF-SC)
  • 8. High potential to join the AI race: Opportunities and challenges Tunisia was found in 2008 to: ? Display the highest economic complexity in Africa ? Rank 47th worldwide as measured by the ECI ? Have a relatively low rank 80 in income per capita Giving it a considerable rapid catching up potential. ENIT 30-Apr-18 8National AI-Strategy (AITF-SC)
  • 9. High potential to join the AI race: Opportunities and challenges ENIT 30-Apr-18 9 Network readiness framework National AI-Strategy (AITF-SC)
  • 10. High potential to join the AI race: Opportunities and challenges ? Affordability is the only pillar where Tunisia, with Morocco, perform better than the remaining benchmark countries, ? Infrastructure is the only pillar where Tunisia outperforms the two Arab benchmark countries. As to the skills pillar Tunisia is outperformed by all benchmark countries but Morocco, ? For the remaining seven pillars Tunisia is outperformed by the five benchmark countries besides the Economic impact one where it is last with Morocco. ENIT 30-Apr-18 10National AI-Strategy (AITF-SC)
  • 11. Full steam ahead: Framework and methodology ENIT 30-Apr-18 11 ? Learning Societies (LS) thrive in ? Knowledge Economies (KE) capable of creating, disseminating, and using knowledge through a viable National Innovation System (NIS) where ? productivity is achieved through ? Learning-by-Doing! National AI-Strategy (AITF-SC)
  • 12. Full steam ahead: Framework and methodology ENIT 30-Apr-18 12 Economic complexity and opportunity value analysis, 2010 National AI-Strategy (AITF-SC)
  • 13. Full steam ahead: Framework and methodology ENIT 30-Apr-18 13 ? ECI doesn’t measure the complexity of an economy only, it also ? Suggests development pathways making of it a practical roadmap for ? Smart reindustrialization. ? Given Tunisia’s comparative low income level relative to its economic complexity, it ? Could leap-frog its simple types of manufacturing to focus on more advanced products aided, entre autres, by a vibrant and mission-oriented AI-ecosystem. National AI-Strategy (AITF-SC)
  • 14. Full steam ahead: Framework and methodology ENIT 30-Apr-18 14 International AI innovation literature revealed that the simplest conceptual model could be based on three main pillars: 1. Seedbed: R&D, Data, and TIC infrastructure 2. Talents: Capacity mobilization and enhancement, and 3. Enablers: Multi-stakeholders partnerships and policy National AI-Strategy (AITF-SC)
  • 15. Full steam ahead: Framework and methodology ENIT 30-Apr-18 15 AI three-pillars ecosystem National AI-Strategy (AITF-SC)
  • 16. Full steam ahead: Framework and methodology ENIT 30-Apr-18 16 Three-Horizons thinking applied to the transition to the desired AI-ecosystem National AI-Strategy (AITF-SC)
  • 17. Full steam ahead: Framework and methodology ENIT 30-Apr-18 17 Three types of Innovation are required: 1. Catching-up: Narrow the gap vis-à-vis leader countries 2. Inclusive: Target directly the needs of low-income population, and 3. Leapfrogging: Skipping inferior, less efficient, etc. technologies and move directly to more advanced ones. National AI-Strategy (AITF-SC)
  • 18. Full steam ahead: Framework and methodology ENIT 30-Apr-18 18 3X3 AI National Strategy Conceptual Space National AI-Strategy (AITF-SC)
  • 19. Proposed Action Plan ENIT 30-Apr-18 19 Strategic Objectives: 1. Complete package of systemic policy, funding programs and activities must be put in place in order to establish Tunisia as a regional lead market and provider of AI solutions by 2030, 2. Actions oriented to major priority areas, rather than to specific technologies and research programs, and 3. Needs-driven application-oriented strategic cooperation flagship projects between Science, Industry and State where industry partners participate in the financial cost. National AI-Strategy (AITF-SC)
  • 20. Proposed Action Plan: Thematic Work Groups (TWGs) ENIT 30-Apr-18 20 1. R&D in Data Sciences and AI (DS&AI): capabilities, capacities and activities, 2. Capacity building in DS&AI, open-source resources and related SHS fields, 3. SMEs and Start-ups in DS&AI and related industries and service activities, 4. Digitization and DS&AI readiness and corrective/enabling policies, 5. Regional and international, benchmarking and cooperation as a lever for DS&AI rapid development. National AI-Strategy (AITF-SC)
  • 21. Proposed Action Plan: Multi-Stakeholders Partnerships Work Groups (MPWGs) ENIT 30-Apr-18 21 1. Public health and pharmaceutical industry, 2. Water-energy-food (WEF) nexus, 3. Banking, finance and insurance sector, 4. e-government and e-business issues and challenges, 5. AI and Arabic/Tunisian language processing. National AI-Strategy (AITF-SC)
  • 22. Objectives Tasks Time Frame Resources 1-Collecting feedback and contributions Reporters’ notes + April 27, 2018 Two reporters from AITF-SC 2- Updating the presentation Introducing the needed changes April 30,2018 AITF-SC 3- Finalizing the AI Strategy Concept Paper (AISCP) Writing the final document May 15, 2018 AITF-SC 4- Constituting the Work Groups (WG) Identify and secure agreement of members, share AISCP. May 21, 2018 SS, ANPR, AITF, AITF- SC, + 5- Meeting with all WGs to launch the process Workshop: Discuss and finalize detailed action plans for each WG. June 2, 2018 AITF-SC + WG members ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 22
  • 23. Objectives Tasks Time Frame Resources 6- Restitution of draft reports Workshop: discussion, harmonization and alignment with AISCP August 4, 2018 AITF-SC + WG members 7- Submitting final reports Sending final report. August 18, 2018 WGs leaders. 8- Printing WGs contributions booklet Reviewing, editing and finalizing booklet September 22, 2018 AITF, AITF-SC, ANPR, WGs leaders 9- Diffusing and informing stakeholders Workshop to present and discuss Booklet September 29, 2018 SS, AITF, AITF-SC, ANPR, WGs, Partners and Stakeholders 10- Announcing and make public the National AI Strategy. National conference January 12, 2019 SS, AITF, AITF-SC, ANPR, WGs, Partners and Stakeholders ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 23
  • 24. ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 24 Thanks!
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