Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region

Main Article Content

Xavier Barragán-Martínez
https://orcid.org/0000-0002-2671-6555

Abstract

The objective of this work is to identify and understand the status of the Artificial Intelligence (AI) ecosystem in Ecuador, for which a methodology for measuring the status of AI applied to the leading countries in this area of the region is defined, pretending to reflect the situation of the Artificial Intelligence Ecosystem; therefore, the Tortoise AI Index methodology is taken as a reference, which defines three pillars of analysis; investment, innovation and implementation, which uses 143 indicators divided into seven sub-pillars: Talent, Infrastructure, Operating Environment, Research, Development, Government and Commercial Strategy. The proposal maintains the first five subpillars and uses a new one called Institutionality that integrates government and commercial strategies. The research subscribes to a descriptive, quantitative and analytical method of reviewing secondary sources and databases of organizations, companies, governments, among others. The findings show that there is a significant gap when comparing the AI ecosystem in Ecuador with the ecosystems of Argentina, Brazil, Chile, Colombia, and Uruguay; showing an incipient use, adoption of this technology and the lack of public policies that encourage the use of AI as a means of social, economic and environmental development.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
Barragán-Martínez, X. (2023). Situation of Artificial Intelligence in Ecuador in relation to the leading countries of the Southern Cone region. FIGEMPA: Investigación Y Desarrollo, 16(2), 23–38. https://doi.org/10.29166/revfig.v16i2.4498
Section
Artículos
Author Biography

Xavier Barragán-Martínez, Instituto de Altos Estudios Nacionales. Quito, Ecuador

Escuela de Prospectiva Estratégica. 

References

Accenture (24 de junio de 2022) El arte de la madurez de la IA: de la práctica a los resultados. https://www.accenture.com/es-es/insights/artificial-intelligence/ai-maturity-and-transformation

Alekseeva, L., Azar, J., Gine, M., Samila, S., & Taska, B. (2019) The Demand for AI Skills in the Labor Market. Labour Economics, Forthcoming, 1-60.

BID (2020) Inteligencia artificial Gran oportunidad del siglo XXI. Washington, D.C.: Banco Interamericano de Desarrollo.

Cañado, N. (2022) La inteligencia artificial aplicada al C2. Revista General de Marina, 282, 521-526.

Castro, D., McLaughlin, M., y Chivot, E. (2019) Who Is Winning the AI Race: China, the EU or the United States? – Center for Data Innovation. https://datainnovation.org/2019/08/who-is-winning-the-ai-race-china-the-eu-or-the-united-states/

Cepal (20 de noviembre de 2021) Comisión Económica para América Latina y el Caribe. Cumbre de Inteligencia Artificial en América Latina: https://www.cepal.org/es/notas/cumbre-inteligencia-artificial-america-latina

Diario Popular (2021) La Unesco crea marco ético y político para la Inteligencia Artificial. https://www.diariopopular.com.ar/tecnologia/la-unesco-crea-marco-etico-y-politico-la-inteligencia-artificial-n601417

ECB (2022) El Banco Central Europeo. https://www.ecb.europa.eu/ecb/html/index.es.html

Ekholm, B. y Rockström, J. (2019) Digital technology can cut global emissions by 15%. Here’s how. Cologny: Foro Económico Mundial.

European Commission (28 de septiembre de 2022) Liability Rules for Artificial Intelligence. https://ec.europa.eu/info/business-economy-euro/doing-business-eu/contract-rules/digital-contracts/liability-rules-artificial-intelligence_en

Fouirner Guimbao, J. (13 de julio de 2021) Inteligencia artificial: una carrera hacia un futuro tecnológico. Documento de Opinión IEEE 89/2021: https://www.ieee.es/Galerias/fichero/docs_opinion/2021/DIEEEO89_2021_JOAFOU_Inteligencia.pdf

Gartner (2021) Top Strategic Technology Trends for 2022 12. Trends Shaping the Future of Digital Business. Stanford: Gartner.

Gartner (21 de septiembre de 2021) Las 4 tendencias que prevalecen en el Hype Cycle de Gartner para la IA. https://www.gartner.com/en/articles/the-4-trends-that-prevail-on-the-gartner-hype-cycle-for-ai-2021

Gómez Mont, C., del Pozo, C. M., Martínez Pinto, C., y Martín del Campo Alcocer, A. V. (2020) La inteligencia artificial al servicio del bien social en América Latina y el Caribe: Panorámica regional e instantáneas de doce países. Banco Interamericano de Desarrollo. https://doi.org/10.18235/0002393

iProUP (2020) Inteligencia artificial, clave en el eCommerce: este es su impacto. https://www.iproup.com/innovacion/11879-inteligencia-artificial-clave-en-el-ecommerce-este-es-su-impacto17

Knudsen, M. y Kaívo-Oja, J. (2020) Collaborative Robots: Frontiers of Current Literature. Journal of Intelligent Systems: Theory and Applications, 13-20.

Kotis, K. (febrero de 2021) Artificial general intelligence and creative economy. Academia Letters, Article 260. https://www.academia.edu/45075226/Artificial_General_Intelligence_and_Creative_Economy

Lane, M. y Saint-Martin, A. (2021) The impact of Artificial Intelligence on the labour market: What do we know so far? OECD Social, Employment and Migration Working Papers, 256, OECD Publishing, Paris. https://doi.org/10.1787/7c895724-en.

Market Research Future (2022) AI in social media market size, growth and forecast 2020 –2030. https://www.marketresearchfuture.com/reports/ai-in-social-media-market-6089

Martínez, C. (24 de enero de 2018) Investigación descriptiva: definición, tipos y características. https://www.lifeder.com/investigacion-descriptiva/

McCarthy, J. (2007) What is Artificial Intelligence? Recuperado el 06 de 2021, de Computer Science Department. Stanford University: http://www-formal.stanford.edu/jmc/whatisai.pdf

Osman, M. (2019) Estadísticas de Ecommerce para 2019 - Chatbots, Voz, Omni-Channel Marketing. https://kinsta.com/es/blog/etadisticas-ecommerce/

Oxford Insights (2021) Government AI Readiness Index 2021. https://www.oxfordinsights.com/government-ai-readiness-index2021

Parlamento Europeo (2021) Proyecto de informe sobre la Inteligencia Artificial en la Era Digital (2020/2266(INI)) Bruselas: Parlamento Europeo 2019-2024.

Purdy, M., y Daugherty, P. (2017) How AI industry profits and innovation boosts. https://www.accenture.com/fr-fr/_acnmedia/36dc7f76eab444cab6a7f44017cc3997.pdf

Rao, A., y Verwei, G. (2017) Sizing the prize What’s the real value of AI for your business and how can you capitalise? PWC. https://www.pwc.com/gx/en/issues/analytics/assets/pwc-ai-analysis-sizing-the-prize-report.pdf.

Stanford University (2021) The AI Index Report 2022 – Artificial Intelligence Index. https://aiindex.stanford.edu/ai-index-report-2022/

Statista (2022) Total global AI investment 2015-2021. https://www.statista.com/statistics/941137/ai-investment-and-funding-worldwide/

TMG (2020) Repaso de las políticas y desarrollos latinoamericanos sobre inteligencia artificial. Virginia: Telecommunications Management Group, Inc.

Tortoise (2019) Tortoise. https://www.tortoisemedia.com/

Viewnext (2019) Aplicaciones de la Inteligencia Artificial en la actualidad. https://www.viewnext.com/inteligencia-artificial-aplicaciones/

World Economic Forum (2019) Digital technology can cut global emissions by 15%. Here’s how. https://www.weforum.org/agenda/2019/01/why-digitalization-is-the-key-to-exponential-climate-action/

World Economic Forum (2020) Jobs of Tomorrow Mapping Opportunity in the New Economy. Geneva: World Economic Forum.