The human brain is limited when it comes to computing power and pattern recognition. Luckily, using recent technology, we are able to use machine learning and artificial intelligence (AI) for global development purposes, can gain insight on a variety of problems and attempt to make predictions about the future. Computers can analyze massive datasets and learn from them more efficiently than humans can. Around the world, people are taking advantage of AI to do valuable work and improve people’s standard of living. Here are four examples of how people and organizations are using artificial intelligence for global development.

4 Ways to Use Artificial Intelligence for Global Development

1. Based on patterns of past events, AI can make predictions about the occurrences and effects of disasters. In these situations, knowledge is everything; when people are informed, they can make plans to evacuate or reinforce infrastructure as needed. Google is using AI to predict flood locations during storms in India, and is then able to alert residents. Similarly, IBM is using AI to predict the location and intensity of volcanic eruptions based on past data. Another program by the World Bank is using AI to predict famines, and is arranging for funds to be provided to people in areas affected by famine.
2. Machine learning and artificial intelligence can be used to advise people on best practices for farming efficiency. Microsoft has worked with farmers in India to help them monitor crop health, identify diseased plants and recommend certain crops based on weather patterns, soil conditions and economic patterns. In another case, Trinchero Family Estates in California partnered with Ceres Imaging, using AI to analyze their watering patterns. This technology, which uses drone images to optimize crop watering, could be useful for water conservation in areas where water is scarce.
3. AI can help monitor human rights violations. Microsoft has partnered with the Clooney Foundation for Justice to create the TrialWatch app. The project, which is part of Microsoft’s AI for Humanitarian Action program, aims to monitor potentially unjust trials. The app uses AI to record, transcribe and translate courtroom audio, which can be used to determine whether a defendant has a fair trial. It will also form a database so that trial practices from various nations can be observed and compared.
4. AI helps make analyzing medical data easier. Making decisions about medical diagnoses is often complicated and not entirely clear-cut. AI can analyze patient information and alert doctors to certain issues, often identifying problems more accurately than human medical professionals. A 2017 project from Andre Esteva at Stanford University used AI to classify skin cancer images, and the AI system performed on par with dermatologists. In addition, Professor Rima Arnaut of UC San Francisco has developed a system that uses AI to analyze an echocardiogram, a heart test. So far, the technology has not been used to make judgements about the content of the images, but in early tests in which the system was asked to detect the “type of view” of various echocardiograms, the AI system outperformed trained cardiologists in the task. Certainly many aspects of medical analysis require human analysis, but these programs can accelerate analyses and assist medical professionals in providing the best possible care for their patients.

These impressive uses of AI will save lives and will assist citizens of many countries in achieving a better standard of living. As experts continue to work on machine learning and artificial intelligence, and as computers become smarter and more capable, the use of artificial intelligence for global development will likely continue to improve conditions for people around the globe.

– Meredith Charney
Photo: Flickr