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National AI Strategy: Unlocking Tunisia’s capabilities potential

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Tunisia, and as attested by the 14th of January Revolution, missed all three industrial revolutions and is poised today, within a challenging democratic transition context, to brave the odds and regain the control of its destiny and renew with sustainable development, socio-political stability, and equitable prosperity. To achieve this challenge, Tunisia has to join the international AI race by aligning its strategies with the global megatrend, and embrace, entre autres, the changes unleashed by digitization, big data, and AI.

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National AI Strategy: Unlocking Tunisia’s capabilities potential

  1. 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. 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. 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. 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. 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. 6. AI-Strategy conceptual pyramid ENIT 30-Apr-18 6National AI-Strategy (AITF-SC)
  7. 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. 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. 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. 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. 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. 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. 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. 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. 15. Full steam ahead: Framework and methodology ENIT 30-Apr-18 15 AI three-pillars ecosystem National AI-Strategy (AITF-SC)
  16. 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. 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. 18. Full steam ahead: Framework and methodology ENIT 30-Apr-18 18 3X3 AI National Strategy Conceptual Space National AI-Strategy (AITF-SC)
  19. 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. 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. 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. 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. 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. 24. ENIT 30-Apr-18 National AI-Strategy (AITF-SC) 24 Thanks!

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