ABSTRACT
Artificial Intelligence (AI) resurgence has triggered a new wave of public policy development in over 60 countries worldwide. Given glaring inequalities and early deindustrialization in Latin America and the Caribbean, AI can provide new opportunities to change course if harnessed strategically with long-term goals on the horizon. Based on critical and descriptive research centered on document review, this paper examines AI public policy development from a public policy perspective. First, an analytical framework comprising AI policy inputs such as data, infrastructure, and human and institutional, and AI policy outputs targeting socio-economic, political, technical and governance is developed. Then, after reviewing existing literature and policy documents, three types of AI policies are identified globally. The framework and policy typology are then used to study AI policies in the region. While different development and maturity levels are identified in the region, national AI policies shy away from disrupting the current context and discussing issues related to data and technology sovereignty.
- K. Schwab, The fourth industrial revolution, First U.S. edition. New York: Crown Business, 2016.Google Scholar
- S. Milan and E. Treré, “Big Data from the South(s): Beyond Data Universalism:,” Television & New Media, Apr. 2019, doi: 10.1177/1527476419837739.Google Scholar
- K. Lee, F. Malerba, and A. Primi, “The fourth industrial revolution, changing global value chains and industrial upgrading in emerging economies,” Journal of Economic Policy Reform, vol. 0, no. 0, pp. 1–12, May 2020, doi: 10/gg88ht.Google Scholar
- M. L. Gray and S. Suri, Ghost work: how to stop Silicon Valley from building a new global underclass. Boston: Houghton Mifflin Harcourt, 2019.Google Scholar
- R. Calo, “Artificial Intelligence Policy: A Primer and Roadmap,” Social Science Research Network, Rochester, NY, SSRN Scholarly Paper ID 3015350, Aug. 2017. Accessed: Aug. 26, 2020. [Online]. Available: https://papers.ssrn.com/abstract=3015350Google Scholar
- A. Dafoe, “AI Governance: A Research Agenda,” Future of Humanity Institute, Oxford University, Aug. 2018.Google Scholar
- A. Goolsbee, “Public Policy in an AI Economy,” National Bureau of Economic Research, Working Paper 24653, May 2018. doi: 10.3386/w24653.Google ScholarCross Ref
- W. Naudé and N. Dimitri, “The race for an artificial general intelligence: implications for public policy,” AI & Soc, vol. 35, no. 2, pp. 367–379, Jun. 2020, doi: 10/gg6snv.Google ScholarDigital Library
- B. Perry and R. Uuk, “AI Governance and the Policymaking Process: Key Considerations for Reducing AI Risk,” Big Data and Cognitive Computing, vol. 3, no. 2, Art. no. 2, Jun. 2019, doi: 10/gg9zkw.Google ScholarCross Ref
- M. Howlett, Designing public policies: principles and instruments, Second edition. London ; New York, NY: Routledge, Taylor & Francis Group, 2019.Google Scholar
- E. Brynjolfsson and A. McAfee, The second machine age: work, progress, and prosperity in a time of brilliant technologies. New York London: W.W. Norton & Company, 2016.Google Scholar
- M. Brundage and J. Bryson, “Smart Policies for Artificial Intelligence,” arXiv:1608.08196 [cs], Aug. 2016, Accessed: Sep. 10, 2020. [Online]. Available: http://arxiv.org/abs/1608.08196Google Scholar
- K. (et. al. ) Crawford, “AI Now 2019 Report,” NYU, 2020. Accessed: May 27, 2021. [Online]. Available: https://ainowinstitute.org/AI_Now_2019_Report.htmlGoogle Scholar
- R. Ochigame, “The Invention of ‘Ethical AI’: How Big Tech Manipulates Academia to Avoid Regulation,” The Intercept, Dec. 20, 2019. https://theintercept.com/2019/12/20/mit-ethical-ai-artificial-intelligence/ (accessed Sep. 25, 2020).Google Scholar
- OECD, “Recommendation of the Council on Artificial Intelligence,” OECD, Paris, France, 2020. Accessed: Aug. 04, 2020. [Online]. Available: https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449Google Scholar
- M. Cabrol, N. González A., C. Pombo, and R. Sánchez A., “fAIr LAC: Adopción ética y responsable de la inteligencia artificial en América Latina y el Caribe,” Inter-American Development Bank, Jan. 2020. doi: 10.18235/0002169.Google ScholarCross Ref
- OECD, “OECD AI live repository of over 260 AI strategies & policies,” OECD AI live repository of over 260 AI strategies & policies, 2020. https://www.oecd.ai/dashboards (accessed Aug. 22, 2020).Google Scholar
- O. J. Grof, M. Nitzberg, and D. Zehr, “Comparison of National Strategies to Promote Artificial Intelligence, Part 1,” Konrad Adenauer Foundation, Nov. 2018. Accessed: Aug. 26, 2020. [Online]. Available: https://www.kas.de/en/single-title/-/content/vergleich-nationaler-strategien-zur-foerderung-von-kuenstlicher-intelligenzGoogle Scholar
- O. J. Grof, M. Nitzberg, and D. Zehr, “Comparison of National Strategies to Promote Artificial Intelligence, Part 2,” Konrad Adenauer Foundation, Berlin, Jan. 2019. Accessed: Aug. 26, 2020. [Online]. Available: https://www.kas.de/en/single-title/-/content/vergleich-nationaler-strategien-zur-forderung-von-kunstlicher-intellige-1Google Scholar
- S. Heumann and N. Zahn, “Benchmarking National AI Strategies: Why and How Indicators and Monitoring Can Support Agile Implementation,” SSRN Journal, 2018, doi: 10.2139/ssrn.3502283.Google Scholar
- D. Kim, “Artificial Intelligence Policies in East Asia: An Overview from the Canadian Perspective,” Asia Pacific Foundation of Canada, Jul. 25, 2019. https://www.asiapacific.ca/research-report/artificial-intelligence-policies-east-asia-overview-canadian (accessed Sep. 03, 2020).Google Scholar
- S. E. Mantilla, “Hacia una estrategia nacional de Inteligencia Artificial,” Instituto de Estrategia Internacional, Buenos Aires, Argentina, Oct. 2018.Google Scholar
- S. Saran, N. Natarajan, and M. Srikumar, “In pursuit of autonomy: AI and national strategies,” Observer Research Foundation, New Delhi, India, 2018. Accessed: Aug. 26, 2020. [Online]. Available: https://www.orfonline.org/research/in-pursuit-of-autonomy-ai-and-national-strategies/Google Scholar
- V. Amarante, Galván, Marco, and Mancero, Xavier, “Inequality in Latin America: A Global Measurement,” CEPAL Review, vol. 118, pp. 25–44, 2016.Google ScholarCross Ref
- L. Tornarolli, M. Ciaschi, and L. Galeano, “Income Distribution in Latin America The Evolution in the Last 20 Years: A Global Approach,” Centro de Estudios Distributivos, Laborales y Sociales Universidad Nacional de La Plata, La Plata, 2018.Google Scholar
- CEPAL, “Universalizar el acceso a las tecnologías digitales para enfrentar los efectos del COVID-19,” CEPAL, Aug. 2020. Accessed: Sep. 08, 2020. [Online]. Available: https://www.cepal.org/es/publicaciones/45938-universalizar-acceso-tecnologias-digitales-enfrentar-efectos-covid-19Google Scholar
- OECD and IDB, “Política de Banda Ancha para América Latina y el Caribe: Un manual para la economía digital,” 2016.Google ScholarCross Ref
- UNESCO, “Sociedad digital: brechas y retos para la inclusión digital en América Latina y el Caribe,” 2017.Google Scholar
- C. Aguerre, “Estrategias nacionales de IA y gobernanza de datos en la región En C. Aguerre, (Ed.). Inteligencia Artificial en América Latina y el Caribe. Ética, Gobernanza y Políticas. Buenos Aires: CETyS Universidad de San Andrés.,” vol. En C. Aguerre, (Ed.). Inteligencia Artificial en América Latina y el Caribe. Ética, Gobernanza y Políticas. Buenos Aires: CETyS Universidad de San Andrés., Buenos Aires, Argentina, 2020.Google Scholar
- C. Gómez Mont, C. M. Del Pozo, C. Martínez Pinto, and A. V. Martín del Campo Alcocer, “La inteligencia artificial al servicio del bien social en América Latina y el Caribe: Panorámica regional e instantáneas de doce países,” Inter-American Development Bank, May 2020. Accessed: Aug. 26, 2020. [Online]. Available: https://publications.iadb.org/es/node/28187Google Scholar
- Departamento Nacional de Planeación, “Plan Nacional de Desarrollo 2018-2022. Pacto por Colombia. Pacto por la Equidad. Ley 1955 de 2019.,” 2018.Google Scholar
- Departamento Nacional de Planeación , CONPES 3920. 2018, p. 116.Google Scholar
- Consejería Presidencial para Asuntos Económicos y Transformación Digital and Armando, “Consulta marco ético Inteligencia Artificial en Colombia. Documento para discusión.,” Bogotá, 2020.Google Scholar
- Departamento Nacional de Planeación , CONPES 3995. 2020, p. 51.Google Scholar
- AGESIC, Presidencia de la República, “Agenda Uruguay Digital. Transformación con equidad 2020.,” 2019.Google Scholar
- AGESIC, Presidencia de la República, “Uruguay: Gobierno Digital y D9,” 2019. https://www.gub.uy/agencia-gobierno-electronico-sociedad-informacion-conocimiento/uruguay-gobierno-digital-d9Google Scholar
- Presidencia de la República Argentina, “Agenda Digital Argentina 2030.” 2018.Google Scholar
- Presidencia de la República Argentina, “ArgenIA. Plan Nacional de Inteligencia Artificial,” 2018. https://ia-latam.com/portfolio/plan-nacional-de-ia-gobierno-de-argentina/Google Scholar
- UNESCO, “Estratégia Brasileira para a Inteligência Artificial,” 2018.Google Scholar
- Ministry of Science, Technology and Innovation, “Estrátegia Brasileira da Inteligencia Artificial e seus eixos Temáticos,” Jul. 2021. Accessed: Aug. 28, 2021. [Online]. Available: https://www.gov.br/mcti/pt-br/acompanhe-o-mcti/transformacaodigital/arquivosinteligenciaartificial/ia_estrategia_portaria_mcti_4-979_2021_anexo1.pdfGoogle Scholar
- Comisión Desafíos del Futuro, Ciencia, Tecnología e Innovación, “Inteligencia Artificial para Chile. Urgencia de desarrollar una estrategia.,” Senado de la República, 2019.Google Scholar
- Gobierno de Chile, “Política Nacional de Inteligencia Artificial,” Política Nacional de Inteligencia Artificial, 2021. http://www.minciencia.gob.cl/politica-nacional-de-inteligencia-artificial/ (accessed May 27, 2021).Google Scholar
- Gobierno digital Chile, “La futura Política Nacional de Inteligencia Artificial,” 2020. https://digital.gob.cl/noticias/la-futura-politica-nacional-de-inteligencia-artificial (accessed Oct. 05, 2020).Google Scholar
- Gobierno de la República de México, “Estrategia Nacional Digital.” 2013.Google Scholar
- E. Martinho-Truswell, H. Miller, I. N. Asare, A. Petheram, R. Stirling, and C. Martínez, “Toward an AI Strategy in Mexico: Harnessing the AI Revolution,” 2018.Google Scholar
- Coalición IAMX2030, “Agenda Nacional Mexicana de Inteligencia Artificial,” 2020.Google Scholar
- Ministerio de Ciencia, Tecnología y Telecomunicaciones, “Estrategia de Transformación Digital hacia la Costa Rica del Bicentenario 4.0,” 2018.Google Scholar
- Ministerio de Tecnologías de la Información y Comunicación, “Agenda Digital Paraguay,” 2018. https://www.mitic.gov.py/agenda-digital/agenda-digital/que-es-la-agenda-digital (accessed Sep. 01, 2020).Google Scholar
- Oficina de Planeamiento y Presupuesto, “Hacia una Estrategia Nacional de Desarrollo, Uruguay 2050 Volumen II - Automatización y empleo en Uruguay - Una mirada en perspectiva y en prospectiva,” 2019. [Online]. Available: https://www.opp.gub.uy/sites/default/files/documentos/2018-06/2256_Publicacion_Automatizacion_y_empleo_en_Uruguay.pdfGoogle Scholar
- Gabinete Ministerial de Transformación Productiva y Competitividad uruguayo, “Hoja de Ruta Ciencia de Datos y Aprendizaje Automático,” 2019. [Online]. Available: (https://www.transformauruguay.gub.uy/es/documentos/tic.pdf).Google Scholar
- Departmento Nacional de Planeación , CONPES 3975. 2019, p. 63.Google Scholar
- K. Crawford, Atlas of AI: power, politics, and the planetary costs of artificial intelligence. New Haven: Yale University Press, 2021.Google ScholarCross Ref
- E. D. Dussel, Ética de la liberación en la edad de la globalización y la exclusión. Madrid: Trotta, 2009.Google Scholar
- A. Andreoni and F. Tregenna, “Escaping the middle-income technology trap: A comparative analysis of industrial policies in China, Brazil and South Africa,” Structural Change and Economic Dynamics, vol. 54, pp. 324–340, Sep. 2020, doi: 10/gg96qr.Google ScholarCross Ref
- H.-J. Chang and A. Andreoni, “Industrial Policy in the 21st Century,” Development and Change, vol. 51, no. 2, pp. 324–351, 2020, doi: 10/ghbg8k.Google ScholarCross Ref
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