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Tecnology

Challenges and Opportunities for the Development of Artificial Intelligence in Bolivia

The development of artificial intelligence in Bolivia is in an initial stage, marked by significant challenges in technological infrastructure, the persistent digital divide, the need for specialized talent training, limited investment levels, and the absence of a specific regulatory framework.

Danilo Chambi

— 39 min read
Challenges and Opportunities for the Development of Artificial Intelligence in Bolivia
Photo by BoliviaInteligente / Unsplash

Artificial Intelligence in the Global Scenario and its Strategic Importance for Bolivia

Artificial intelligence (AI) has become a technological field of increasing relevance worldwide, transforming industries and the way societies interact with technology. While there is no formal and universally accepted definition of AI 1, it can generally be understood as the ability of machines to perform tasks that normally require human intelligence. This encompasses a wide range of functionalities, including perceiving the environment, reasoning about acquired knowledge, learning from data, solving complex problems, and interacting through natural language.1 Various sources offer complementary perspectives on the definition of AI. Google Cloud describes it as a set of technologies based primarily on machine learning and deep learning, used for data analysis, prediction generation, object categorization, and natural language processing.3 Amazon Web Services, on the other hand, focuses on AI's ability to make software smarter, personalizing interactions and solving intricate problems.4 UNESCO broadens this definition by pointing out that AI involves machines capable of mimicking certain functionalities of human intelligence, such as perception, learning, reasoning, problem-solving, linguistic interaction, and even creative production.2 Iberdrola emphasizes that AI is a combination of algorithms with the purpose of creating machines that present the same capabilities as human beings, anticipating a revolution comparable to that generated by the Internet.5

AI can be classified in various ways, according to its capabilities and functionalities. Based on its capabilities, a distinction is made between narrow or weak AI (ANI), designed for specific tasks with a limited level of intelligence, such as chatbots or recommendation systems 1; general or strong AI (AGI), with the ability to perform any intellectual task that a human can (still under development) 1; and superintelligent AI (ASI), a type of theoretical AI that would surpass human intelligence in all aspects.1 Regarding its functionality, reactive machines can be identified, which respond to stimuli based on pre-programmed rules without memory (like IBM's Deep Blue) 3; AI with limited memory, capable of learning from past data for a short period 6; AI with theory of mind, which could process emotions (still in the idealization phase) 6; and AI with self-awareness, which would have self-awareness and emotions (more theoretical than practical).6 Additionally, increasingly sophisticated types of AI are emerging, such as multimodal AI, which combines different types of data for a more complete interpretation 4; explainable AI (XAI), where AI decisions can be understood by humans 11; and generative AI, which creates new content such as images or text.4 The diversity in the definitions and classifications of AI highlights its constantly evolving nature and the absence of a universal formal consensus.1 This lack of uniformity can create challenges in formulating coherent policies and regulations.

AI has transcended the realm of science fiction to become a technology of strategic importance in multiple sectors globally.5 Its ability to process large volumes of data, identify complex patterns, and automate intricate tasks positions it as a crucial engine for innovation and economic growth.13 Key benefits of AI include the automation of workflows, freeing up human capital for higher-impact tasks 3; improved decision-making by analyzing information quickly and accurately 5; increased efficiency and productivity in various organizational processes 15; the fostering of creativity and innovation in the creation of new products and services 13; and the generation of competitive advantages for organizations that adopt it effectively.15 AI is applied in a wide range of industries, including healthcare, with chatbots for symptom analysis and support in diagnoses 13; education, through personalized learning and online tutoring 13; transportation, through route optimization and the development of autonomous vehicles 5; energy, for consumption optimization and predictive maintenance 13; finance, in fraud detection and personalized advice 13; marketing, with sales predictions and personalized recommendations 13; cybersecurity, for autonomous threat analysis 3; and public administration, in predicting natural disasters and improving preparedness.41 The extensive application of AI in multiple sectors underscores its transformative potential and its strategic value for economic growth and social development.

For Bolivia, the strategic adoption of AI represents an opportunity to address specific development challenges and leverage its unique advantages. AI has the potential to revolutionize key sectors of the Bolivian economy and improve the quality of life of its citizens. While the global importance of AI is evident, its particular relevance to Bolivia must be highlighted from the outset to focus the reader's attention on the purpose of this report. Bolivia, like many developing nations, faces particular challenges in areas such as agriculture, resource management, and the provision of public services. AI offers potential solutions tailored to these specific contexts, making its strategic development a key factor for the country's progress. For example, in a country with a significant agricultural sector, AI can be fundamental in improving crop yields and optimizing resource use. In governance, AI could increase transparency and efficiency in public services.

Diagnosis of the Current State of Artificial Intelligence in Bolivia

Bolivia currently lacks a formal and unified national digital strategy that explicitly prioritizes and outlines a roadmap for AI development.43 This absence is reflected in the country's low position (117th globally, last in South America) in the Responsible AI Index (GIRAI), which evaluates capabilities, human rights compliance, and governance related to AI.44 The approach to digital modernization in Bolivia appears fragmented, with various roles and authorities needing better articulation for successful implementation.43 Collaboration between government, industry, and civil society is essential for responsible and beneficial use of AI.49 While there is recognition of AI's potential in modernizing the public sector for more agile, open, and innovative governance 50, its adoption in both the public and private sectors is lagging.45 The state does not yet widely consider technology, including AI, as a strategic ally.45 Despite the lack of a formally documented national AI strategy, some initiatives and objectives related to digital transformation exist within the functions of the Electronic Government and Information and Communication Technologies Agency (AGETIC) and other planning documents.43 However, a coherent and prioritized national AI strategy is still lacking.43 The absence of a cohesive and prioritized national AI strategy represents a significant impediment to AI development in Bolivia.

Several Bolivian universities are beginning to engage in academic initiatives related to AI. The Institute of Computational Intelligence (IIC) of the Bolivian Private University (UPB) is a dedicated research group focusing on various branches of AI.58 The IIC's missions include AI research, the creation of innovative solutions for companies in Bolivia and Latin America, and technology transfer. They offer services in areas such as conversational agents, intelligent analysis, and AI adoption in industries, with research focused on generative AI, business knowledge graphs, and conversational assistants in Spanish.58 The IIC has undertaken projects in personalized learning, climate change analysis, conversational agents for professional profiles, supply chain management, and student support.58 They have also received a Google AI and TensorFlow Faculty Award.58 The UPB also offers a Diploma in Artificial Intelligence, Strategies and Applications in Business 59 and a Course in Artificial Intelligence for Professionals.60 The Universidad Mayor de San Andrés (UMSA) offers a Master's in Artificial Intelligence and Data Science for Business Transformation (virtual modality).61 They also offer a Diploma in Higher Education with Application of Emerging Technologies and Artificial Intelligence (Virtual Modality).61 The Universidad Católica Boliviana "San Pablo" (UCB) Santa Cruz offers an undergraduate program in Artificial Intelligence Engineering.62 Other universities such as the Universidad Privada Domingo Savio (UPDS) have conducted training for teachers on the use of AI to optimize university teaching.64 The Universidad Autónoma "Juan Misael Saracho" (UAJMS), in coordination with the ATT, has carried out free courses on AI to promote basic concepts and applications.54 The UAJMS also offers a Short Course: Artificial Intelligence with Python 65 and a Short Course: Artificial Intelligence in Higher Education.66 Unifranz hosted the International Congress of Artificial Intelligence in Health.67 There are also cases of universities collaborating on AI-related courses, such as the Universidad de Playa Ancha (UPLA) and the UMSA offering a course on AI applied to Earth Sciences.68 Research in public universities in Bolivia has identified the need for effective integration of AI to maintain competitiveness and sustainability, emphasizing the human element in knowledge creation and management.69 While academic initiatives in AI exist, their scale and impact may be limited by factors such as funding and infrastructure.

The Bolivian startup ecosystem, although growing, has an incipient presence of companies explicitly focused on AI. SparseLab, based in La Paz, is a startup founded in 2018 by data scientists and engineers with the mission of democratizing AI. They focus on efficient AI models and offer platforms such as SparseVision for computer vision and SparseNLP for natural language processing.70 They have also developed technologies such as Sparse Transformer and AutoML to reduce the barrier to entry for AI adoption.70 FACIA is another Bolivian startup that uses AI and facial biometrics to transform security in Latin America, focusing on the identification of missing persons, especially children.71 StartupBlink lists "Artificial IntelligencePro" as one of the top 10 Software and Data startups in Bolivia 73, although specific details are not provided. Other startups in the broader tech ecosystem may be incorporating AI into their solutions without explicitly identifying as "AI startups". For example, iZi Soluciones Digitales offers management software that drives sales channels through fintech technology.73 Initiatives such as the SOLYDES Accelerator support the transformation of innovative ventures in Bolivia, including those potentially working with AI.74 The AI startup ecosystem appears to be nascent but with promising examples of innovation.

Private investment in AI applications and infrastructure in Latin America is significantly lower than the world average. In the last year, global investment reached $190 billion, while Latin America only accounted for $8.2 billion.46 Bolivia's share in this regional investment is likely to be very small, as indicated by its last place in AI development in Latin America.44 Experts point out that, with the exception of particular cases, there is little application of AI in the private sector in Bolivia.45 This contrasts with more advanced economies where private investment in AI has reached exponential figures.76 While the potential of AI as an engine for economic growth in Bolivia is recognized 20, the lack of substantial private investment remains a key challenge.45 Limited private investment represents a significant barrier to the rapid growth of the AI sector in Bolivia.

Several Bolivian universities and institutions are beginning to offer educational programs in AI. The Universidad Católica Boliviana "San Pablo" (UCB) Santa Cruz offers an Engineering degree in Artificial Intelligence.62 The Universidad Mayor de San Andrés (UMSA) offers a Master's in Artificial Intelligence and Data Science (virtual) 61 and a Diploma in Higher Education with Application of Emerging Technologies and Artificial Intelligence (virtual).61 The Universidad Privada Boliviana (UPB) offers a Diploma in Artificial Intelligence, Strategies and Applications in Business.59 The Authority for Regulation and Supervision of Telecommunications and Transportation (ATT) has promoted and organized free courses on AI in coordination with universities such as the UAJMS.54 The UPB offers a Course in Artificial Intelligence for Professionals 60 and a Course in Generative Artificial Intelligence for Teachers.37 The UAJMS offers short courses such as Artificial Intelligence with Python 65 and Artificial Intelligence in Higher Education.66 Other institutions such as NobleProg also offer AI training courses in Bolivia.26 Online platforms like Aprender21 offer AI courses in Bolivia.100 There is a growing recognition of the need to integrate AI into education at all levels.28 While educational opportunities in AI exist, there may be shortcomings in terms of specialized training and alignment with industry needs.

Access to technological infrastructure in Bolivia presents significant challenges for AI development. Mobile internet penetration reached 91% in December 2023, while fixed internet penetration reached 56% of households.102 However, despite the relatively high mobile penetration, the quality and speed of internet connections remain a concern. Bolivia ranks low in the Broadband Development Index (IDBA) 102 and has one of the most expensive internet connections regionally and globally.104 The average international fixed broadband speed per inhabitant is significantly lower than the regional average and the OECD average.103 There is a significant digital divide between urban and rural areas, as well as between different socioeconomic levels.104 In 2020, internet access in urban areas was 70% compared to only 21% in rural areas.104 Cost is a major factor contributing to this gap.104 Bolivia lacks sufficient high-performance computing infrastructure necessary for training complex AI models.75 The country also faces challenges in data processing capabilities.75 There are some positive developments, such as the deployment of fiber optic networks 103 and collaborations with countries like China to strengthen digital infrastructure, including broadband, data centers, and 5G technologies.113 Inadequate technological infrastructure, especially limited internet access and the digital divide, represents a significant bottleneck for AI development in Bolivia.

Main Challenges Bolivia Faces to Advance in Artificial Intelligence

The limited availability and quality of technological infrastructure represent a significant obstacle. While mobile internet penetration is relatively high, the actual speed and reliability, especially for fixed broadband, lag behind regional and global standards.102 The lack of advanced computing infrastructure, including sufficient processing power and data storage capabilities, hinders the ability to train and deploy complex AI models.75 The cost of internet access also remains a barrier for many.104 The lack of advanced computing infrastructure and reliable high-speed internet severely restricts the potential for AI research and development.

The pronounced digital divide between geographic areas (urban versus rural) and socioeconomic strata in Bolivia limits access to technology, digital literacy, and consequently, opportunities in the field of AI.104 The disparity in internet access and affordability means that a significant portion of the Bolivian population is excluded from the digital economy and the potential benefits of AI education and applications. This gap also affects the availability of diverse datasets needed for training unbiased AI models. The significant digital divide exacerbates inequalities and limits the inclusiveness of AI development efforts.

Bolivia faces the challenge of developing and retaining a skilled workforce in AI. This includes the need for relevant and updated curricula at all educational levels, from basic education to higher education and vocational training.115 Insufficient training and professional development opportunities for teachers in AI-related fields also contribute to this challenge.27 Furthermore, the emigration of qualified professionals to countries with more developed AI ecosystems poses a significant brain drain problem.48 The shortage of qualified AI professionals represents a critical bottleneck for AI research, development, and adoption in Bolivia.

Investment from both the public and private sectors in AI in Bolivia is currently low compared to other countries in the region and globally.45 This lack of financial resources limits the ability to fund research projects, invest in the necessary technological infrastructure, and support the growth of AI-based startups and companies. The absence of significant venture capital and angel investment specifically targeting AI further exacerbates this challenge. Insufficient funding hinders research, infrastructure development, and the growth of AI-based businesses.

Bolivia currently lacks a comprehensive and specific legal and ethical framework to regulate the development and implementation of AI technologies.43 This absence creates uncertainty for businesses and researchers, potentially stifling innovation and hindering responsible adoption. A clear regulatory framework is needed to address issues such as data privacy, algorithmic bias, intellectual property, and accountability in AI systems.44 The lack of a clear legal and ethical framework creates uncertainty and can stifle innovation and responsible AI adoption.

Specific Opportunities for the Development of Artificial Intelligence in the Bolivian Context

AI presents significant potential to transform Bolivia's agricultural sector, a fundamental pillar of its economy. Applications include precision agriculture, disease and pest detection, yield prediction, and resource optimization.143 OKARATech is an example of a digital agriculture platform that uses AI and data science in Bolivia to understand the productive needs of farmers and provide recommendations for sustainable production increases.146 AI can significantly improve agricultural productivity and sustainability in Bolivia, a key sector of the economy.

AI offers numerous opportunities to improve healthcare delivery and outcomes in Bolivia. Applications include diagnostics, telemedicine, drug discovery, and improved vaccination coverage.22 Bolivia has pioneered the use of geographic AI to improve vaccination coverage at the subnational level.150 AI can improve healthcare delivery, especially in remote areas, and enhance public health outcomes.

AI can revolutionize the education sector in Bolivia through personalized learning, intelligent tutoring systems, automated assessment, and bridging the digital divide.26 AI can personalize learning experiences and improve the quality and accessibility of education in Bolivia.

AI offers significant opportunities to improve governance and public services in Bolivia. Applications include policy formulation and evaluation, service delivery, internal management, revenue optimization, and combating corruption.50 AI can improve the efficiency, transparency, and effectiveness of public services in Bolivia.

Bolivia's rich natural resources can benefit from AI applications such as environmental monitoring, deforestation detection, biodiversity conservation, and sustainable resource management.54 Satellite technology and AI are being used for forest conservation.158 AI can contribute to the sustainable management and conservation of Bolivia's rich natural resources.

AI can bring significant improvements to Bolivia's extractive industries, including process optimization, predictive maintenance, safety enhancements, and resource management.162 AI can improve the efficiency, safety, and sustainability of Bolivia's extractive industries.

Examples of Real Cases and Artificial Intelligence Projects in Bolivia

Startups: FACIA uses AI and facial biometrics for security, focusing on the identification of missing persons.71 SparseLab develops efficient AI models and platforms for computer vision (SparseVision) and natural language processing (SparseNLP), aiming to democratize AI for businesses.70 Other startups in the software and data sector 73 may be incorporating AI, such as iZi Soluciones Digitales with its management software.73

Academia: The Institute of Computational Intelligence (IIC) of the UPB is actively involved in research and projects in various fields of AI.58 The UMSA offers postgraduate programs in AI and Data Science.61 The UCB Santa Cruz has an undergraduate program in AI Engineering.62

Government and Public Sector: Bolivia has pioneered the use of geographic AI to improve vaccination coverage, with training provided to health personnel.150 The Ministry of Economy and Finance is establishing an Artificial Intelligence Laboratory (Lab-IA) to generate knowledge and intelligent fiscal policies.169

Industry: OKARATech provides a digital agriculture platform that uses AI for precision agriculture and crop management.146 The National Bank of Bolivia is using generative AI to improve efficiency and security in its credit process.170 E-commerce companies and health startups in Bolivia are reportedly using AI for personalized products and disease diagnosis.21

Collaboration: There is a collaboration between China and Bolivia to strengthen digital infrastructure, which will be crucial for AI development.113

Comparison of Artificial Intelligence Development in Bolivia with Other Latin American Countries

Bolivia lags behind in AI development compared to other Latin American countries, ranking last in South America according to the Latin American Artificial Intelligence Index (ILIA 2024) with a score of 26.00 out of 100.45 Chile, Brazil, and Uruguay are consistently identified as leaders ("pioneers") in AI in Latin America.171 Argentina, Colombia, and Mexico are often categorized as "adopters" with lower scores.175

Country

ILIA 2024 Ranking

ILIA 2024 Score

National AI Strategy

Key Strengths in AI

Key Challenges in AI

Bolivia

16

26.00

No

Incipient academic initiatives, some AI-focused startups

Lack of national strategy, low investment, infrastructure limitations, digital divide, talent shortage

Chile

1

73.07

Yes

Solid infrastructure, talent development, research, ethical governance framework

Maintaining urgency for further development

Brazil

2

69.30

Yes

Solid infrastructure, research capabilities, patents

Governance challenges

Uruguay

3

64.98

Yes

Infrastructure, human talent, emerging innovation hub, solid governance


Argentina

4

55.77

Yes

Growing scientific publications, adoption in agriculture, industry, services

Strengthening infrastructure and talent

Colombia

5

52.64

Yes

Progress in AI adoption in the public sector


Mexico

6

51.40

Yes

Good innovation environment, startup activity

Strengthening the regulatory framework

Several factors have contributed to the faster progress of leading countries: well-defined national AI strategies 182; higher levels of public and private investment 172; stronger academic and research ecosystems 182; and more developed digital infrastructure.183 Chile, for example, stands out for its advanced technological infrastructure, the development of specialized talent, and a high capacity for innovation.171 Brazil has also made significant progress in the adoption of AI-based technologies and has developed a robust research ecosystem.171 Uruguay, despite being a smaller country, has shown great leadership in the adoption of AI technologies and has a strong focus on governance.171 Comparing Bolivia with regional leaders can provide valuable lessons and highlight areas where Bolivia needs to focus its efforts.

Recommendations to Boost the Development of Artificial Intelligence in Bolivia

To boost the development and adoption of AI in Bolivia, considering its specific challenges and opportunities, the following recommendations are proposed:

  • Develop and Implement a National AI Strategy: Bolivia urgently needs to formulate and implement a comprehensive national AI strategy. This strategy should clearly define objectives, priorities, and timelines for AI development in various sectors, involving collaboration between government, academia, industry, and civil society.43
  • Increase Investment in AI: Public and private sector investment in AI research, infrastructure, and startups should be significantly increased. The government can play a crucial role in incentivizing private investment through tax breaks, grants, and venture capital initiatives.45
  • Reduce the Digital Divide: Concerted efforts are needed to improve internet access, affordability, and digital literacy across the country, especially in rural and underserved areas.104 Investing in digital infrastructure and providing training programs are essential.
  • Strengthen Educational Programs and Promote Talent Development in AI: Educational programs at all levels should be enhanced to build a strong pipeline of AI talent. This includes updating curricula, investing in teacher training, promoting STEM education, and fostering collaboration between universities and industry. Initiatives to retain local talent and attract international experts should also be explored.26
  • Develop a Clear and Ethical Regulatory Framework for AI: A comprehensive and specific legal and ethical framework should be established to regulate the development and implementation of AI technologies. This framework should address issues such as data privacy, algorithmic bias, intellectual property rights, and accountability, fostering trust and responsible innovation.43
  • Foster Collaboration and Partnerships: Collaboration between government agencies, academic institutions, private sector companies, and international organizations should be encouraged and facilitated to share knowledge, resources, and best practices in AI.49
  • Prioritize Key Sectors for AI Application: Efforts to promote AI adoption should focus on sectors where it can have the greatest impact on Bolivia's development, such as agriculture, health, education, public management, and natural resources.22

Conclusions

The development of artificial intelligence in Bolivia is in an initial stage, marked by significant challenges in technological infrastructure, the persistent digital divide, the need for specialized talent training, limited investment levels, and the absence of a specific regulatory framework. However, the Bolivian context presents unique opportunities for the application of AI in key sectors such as agriculture, health, education, public management, natural resource management, and extractive industries, where technology can boost productivity, improve efficiency, and generate a positive social impact. Despite the existence of academic initiatives and some promising startups, Bolivia lags behind other more advanced Latin American countries in the field of AI, such as Chile, Brazil, and Uruguay, which have implemented national strategies, attracted greater investment, and developed more robust ecosystems. To promote AI development in the country, Bolivia must prioritize the formulation and implementation of a national AI strategy, increase both public and private investment, reduce the digital divide, strengthen educational programs, and create a clear and ethical regulatory framework. Fostering collaboration among different actors and prioritizing the application of AI in strategic sectors will be fundamental for Bolivia to fully leverage the potential of this transformative technology and advance towards a more prosperous and innovative future.

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