AI in general 1, 2018

Towards an AI Strategy in Mexico



Mexican Government


The white paper is a collection of proposals about the ways in which Mexico could exploit the advantages of AI development. The work was led by Oxford Insights & C Minds in partnership. Oxford Insights advises organisations on strategic, cultural and leadership opportunities from digital transformation. It specialises in artificial intelligence (AI), helping governments to craft AI strategies and publishing the annual Government AI Readiness Index. C Minds is an “impact innovation agency that designs and deploys strategies for economic and social development for developing countries.” The organization works with governments and international organizations in order to bring new technological advancements into developing countries. It has offices in San Francisco (HQ) and in Mexico City. 

The Mexican Government was one of the collaborators in the work along with the British Embassy in Mexico, and the Prosperity Fund. The piece “makes the case for Mexico to invest in AI now,” and it delivers recommendations in five fields:

  1. governance, government, and public services,

  2. research and development,

  3. capacity, skills, and education,

  4. data infrastructure,

  5. ethics and regulation.

A novelty of this document that it (briefly and concisely) goes through all the national AI strategies that have already been published, which is in line with the direct “call for action” of the authors: motivating the Mexican government to be among the first 10 nations to have prepared such a strategy. It also explains the need and the use of having such a strategy, while summarizing the current state of Mexico in the “AI revolution” through the description of outcomes of previous developments. The actual recommendations occupy 8 pages out of the 52 (pgs. 30-37)

  1. Governance, government, and public services
  2. “The government should appoint a national official” to lead on AI-related innovations and to guarantee a clear strategic direction

  3. Ministries should attract experts in data science, algorithmic thinking, and machine learning

  4. Creating a “formal and permanent AI Commission” that brings together the main actors of the private sphere to continuously work together with the public to secure the constitution and high quality of the national AI strategy. The should not only develop it but promote it as well.

  5. The houses of legislation (Senate and Chamber of Deputies in the Congress) should create “working groups” on AI to guarantee the cooperation between the Executive and the Legislation.

  6. The Mexican government should be a global leader in finding solution for universal challenges posed by the spread of AI technology, what it could ensure through its good positions in the various international organizations

  7. Creating a “coalition of AI practitioners from all sectors and disciplines.” The group should develop an “AI Road Map,” based on “mutual sector responsibility.”

  8. [/ul]

  9. Research and development
  10. Creating a “National Center for AI Research.” The model should be the Turing Center in the UK. It should provide a space for “cross-disciplinary work.” It could also help Mexico to be better positioned on the global stage

  11. Strengthening connections between academia and industry. Using the “Tec de Monterrey” model, bringing representatives from industries to the planning table of future educational programs. Funding startups and university attempts. University professors should be allowed to be employed in the private sphere as well.

  12. Ensuring a business-friendly environment through certainty and confidence. Updating the Intellectual Property Rights framework. Securing a safe space for data to be exchanged, to guarantee collaboration between research and industry.

  13. Create an AI government fund

  14. [/ul]

  15. Capacity, skill, and education
  16. Continued education should be applied instead of beginning to educate the population from a very early age. Civil servants should be trained. Creating and maintaining vocational courses

  17. Non-technology and non-science related students should also learn about and understand AI.

  18. Computational skills and coding should be part of primary education

  19. Masters and PhDs in data science

  20. [/ul]

  21. Data infrastructure
  22. “The government should maintain and share core data services”

  23. The future national AI centre should produce training data sets for Mexico

  24. Protect personal privacy

  25. [/ul]

  26. Ethics and regulation
  27. Data should not fall outside the scope anti-competitive legislation.

  28. Create a Mexican AI Ethics Council

  29. [/ul]

AI Governance

This database is an information resource about global governance activities related to artificial intelligence. It is designed as a tool to help researchers, innovators, and policymakers better understand how AI governance is developing around the world.

We're collecting more examples as we find them. If you'd like to add yours to this map, please suggest an entry.

Suggest an entry
  • Filter by:
  • Current filters:
256 entries are listed below
  • Sort by: