According to Stanford University, Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems, including learning, reasoning, and self-correction. As its concept suggests, AI is a broad term that encompasses any technology that allows computers to mimic human abilities. This field includes disciplines such as Robotics, Parallel Computing, Natural Language Processing, Machine Learning, and Deep Learning, each aiming in its own way to automate tasks that humans perform naturally and intuitively.
Artificial Intelligence (AI) is highly relevant due to its ability to transform various sectors and fundamental aspects of society, similar to the historical milestones of the steam engine and electricity. Its development and adoption open up a wide range of opportunities for digital transformation in key sectors such as energy, transportation, water, and sanitation, which are complex, interconnected systems with vast potential to benefit from the transformative effects of this technology. Furthermore, the effective implementation of AI-based solutions can generate significant impacts within organizations and ensure the sustainability of resources in the medium and long term. In this regard, AI not only optimizes operational efficiency but also serves as a crucial driver for economic growth and the optimal functioning of societies. Below is a list of resources to explore its application in the Latin American and Caribbean region.
Publications
Artificial Intelligence Framework for the Inter-American Development Group
Artificial intelligence (AI) has the potential to be a game-changing, general-purpose technology that could reshape economic, social, and institutional systems around the world. The Inter-American Development Bank Group (IDBG) recognizes the critical need to promote AI adoption in Latin America and the Caribbean, aiming to drive productivity, inclusion, and sustainable development. This document outlines a strategic framework to guide IDBG’s efforts in advancing the responsible adoption and use of AI across the region. It highlights the main challenges in three key areas: AI governance and institutions; data and infrastructure; and human capital. The document also offers solutions to address these challenges, aiming to build robust AI ecosystems that foster innovation and drive adoption in both the public and private sectors. By tackling structural issues like uneven digital infrastructure, limited data access, and skill shortages, this framework aims to create the right conditions for broad, equitable AI implementation. Furthermore, it emphasizes a research agenda to examine the impact, challenges, and governance of AI adoption, supporting evidence-based policy design to overcome development barriers while minimizing risks of inequality and misuse. This strategic approach aligns with IDBG’s core goals of reducing poverty and inequality, addressing climate change, and promoting sustainable regional growth.
Digital Transformation of Solid Waste Management: Waste Collection Innovation, Business Intelligence, and Digital Technologies to Transition Waste Management Towards Circularity in Latin America and the Caribbean
The shift towards a circular economy, climate action, and the Fourth Industrial Revolution present new challenges for operators in the technology and innovation sector. Among the key hurdles identified are the need for reliable data and the digitization of waste management systems to achieve circular economy goals. This text highlights the efforts of organizations like the IDB in developing tools for data generation and analysis through digital innovations. It also examines the impact of smart waste technologies (SWT), including Artificial Intelligence (AI), the Internet of Things (IoT), and data analytics, in transforming integrated solid waste management (ISWM), enhancing operational efficiency, and promoting sustainable practices.
The publication further explores various technological tools used in ISWM, such as business intelligence (BI), enterprise resource planning (ERP) systems, and fleet management software. Case studies from countries like Argentina, Colombia, and Ecuador showcase the successful application of these tools, demonstrating their positive impact on decision-making, operational efficiency, and service quality. The report concludes with actionable recommendations for adopting smart waste technologies in the LAC region, aiming to drive digital transformation and effectively support the circular economy model.
Mirror, Mirror on the Wall: Which Jobs Will AI Replace After All?: A New Index of Occupational Exposure
Here is an overview of this document generated by the AI functionality of our Publications Catalog:
The working paper introduces the AI Generated Index of Occupational Exposure (GENOE), which measures the potential impact of artificial intelligence on various jobs and tasks. Utilizing synthetic AI surveys and large language models, it assesses job replacement likelihood while considering social, ethical, and regulatory factors. The findings indicate that the average occupational exposure to AI is projected to rise from 0.28 in one year to 0.44 over ten years. This research provides insights for policymakers, employers, and workers, aiding in strategic workforce planning amid technological advancements. It also highlights the vulnerability of specific demographic groups to AI displacement and analyzes occupational exposure in the U.S. and Mexico labor markets, demonstrating the GENOE index’s relevance across different economic contexts.
The Effects of AI on the Working Lives of Women
As the use and development of Artificial Intelligence (AI) continues to evolve, a crucial question arises: what will the future labor market look like for women? Are we effectively using the power of AI to reduce gender gaps, or are we allowing these gaps to persist and even widen?
Studies show that, globally, women face lower wages, occupy fewer leadership positions, and are underrepresented in science, technology, engineering, and mathematics (STEM) fields. A 2019 UNESCO report revealed that women hold only 29% of global research and development positions and are 25% less likely than men to leverage digital technology for basic uses.
This collaboration between UNESCO, the Inter-American Development Bank (IDB), and the Organisation for Economic Co-operation and Development (OECD) examines the impact of AI on women’s working lives. Through the key stages of the employment cycle—from job requirements to hiring, career progression, and skill development within the workforce—this joint report provides a comprehensive view of gender issues related to AI. Its goal is to foster meaningful conversations about gender equality in the future of work.
Courses
Generative Artificial Intelligence (Gen AI): Fundamentals for the Latin American and Caribbean Civil Service – 2nd edition
The course aims to train public servants in the safe and responsible use of generative AI, raising awareness of its benefits, risks, and limitations. It focuses on ethical use that upholds equity, privacy, and human rights, providing a foundation for its implementation in the workplace context.
To further explore the intersection of Artificial Intelligence and sustainable development in Latin America and the Caribbean, we invite you to visit fAIrLAC. This platform is dedicated to advancing the responsible use and governance of Artificial Intelligence (AI) in Latin America and the Caribbean. The website offers valuable resources, research, and insights aimed at fostering AI adoption that drives sustainable development, inclusion, and innovation across the region. Additionally, do not forget to check out other articles of our series Taxonomy Matters where we provide you with a list of knowledge resources for specific terms.
You can also visit our publication catalog for more information related to Artificial Intelligence.
Artificial Intelligence is revolutionizing key sectors such as solid waste management, the labor market, and public administration, opening new opportunities to enhance efficiency and sustainability.
Which of the resources mentioned in the blog did you find most interesting? Share your thoughts in the comments!
Leave a Reply