The fight against global poverty is breaking new ground with the help of artificial intelligence. Artificial Intelligence (AI) is an amoral tool that is equally capable of both harm and help. However, there are many noteworthy ways in which it contributes to global poverty reduction. The emerging tool has already helped improve access to health care and education. Additionally, it has assisted in disaster response mitigation, particularly in regions where access is otherwise limited. For example, let’s consider the role of AI in reducing poverty in Brazil, Kenya and Bangladesh.

Health Care in Brazil

AI-based diagnostic systems can provide timely and remote access to health care> It can reduce the burden of preventable disease and improve overall health outcomes. These systems can bridge the gap between people and essential resources in remote or marginalized places.

In Brazil, AI is currently being used to improve health care access. One example is ViBe Saúde, a Brazilian telemedicine startup that uses AI algorithms to facilitate consultations between medical professionals and patients. The initiative has proven especially beneficial in rural regions where access to health care services is limited.

Education in Kenya

AI-powered educational systems can adapt to offer personalized learning experiences, which is particularly helpful in regions with limited educational resources. In Kenya, Bridge International Academies, a company that provides for-profit education, is using AI-powered digital learning platforms to help disadvantaged populations break the cycle of poverty.

Remarkably, since 2015, Bridge students who have sat for the Kenya Certificate of Primary Education (KCPE) exam have consistently scored above the national average. Furthermore, its alumni are now in top universities in Kenya and the United States (U.S.).

Disaster Response in Bangladesh

Climate AI’s predictive analysis and relief coordination capacities can help mitigate the impact in disaster-prone regions and reduce their socioeconomic impact. Bangladesh, for instance, is highly susceptible to cyclones, floods and landslides, which can devastatingly impact vulnerable populations. AI-powered chatbots provide real-time information and enable timely evacuation and response efforts, further aiding in disaster management.

The Bangladesh government has used AI to enhance preparedness and response efforts. For example, the Bangladesh Meteorological Department uses AI algorithms for disaster risk management (DRM) to analyze weather data and issue early flood and cyclone warnings. “DRM is constantly upgraded through machine learning and artificial intelligence,” writes Abdullah Shibli, a reporter at The Daily Star.

Unemployment (And Re-Employment) in Bangladesh

While celebrating the accomplishments of the role of AI in reducing global poverty, it is also crucial to acknowledge its potential to exacerbate it. An epitomic example of this is AI’s capacity to automate the manufacturing sector. In Bangladesh, garment manufacturing is a significant source of employment and economic growth. As with many cases of hyper-industrialization, automation would cause underemployment in Bangladesh.

However, rather than exclusively displacing workers, AI also has the capacity to create more job opportunities. According to the World Economic Forum, by 2025, “approximately 85 million employees are anticipated to lose their jobs, while 97 million new roles may emerge.” This example illustrates the nuanced truth underlying robotics: AI’s capacity to promote harm or help is dependent on how we choose to use it. There is no reason to fear AI, as the future of its potential is a matter of our responsibility.

– Sheridan Smith

Sheridan is based in New York, NY, USA and focuses on Business and Technology for The Borgen Project.

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