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Journal Articles:
Artificial Intelligence

This article talks about how AI can be used to pinpoint regions most in need, integrating AI into research designed to improve agriculture, and how AI might be able to give the world’s poorest farmers a way to elevate their financial status.

A website designed to combining satellite imagery and machine learning to predict poverty. The opening page of the website includes their goals, and a YouTube video to explain how they want to end poverty in the UN by 2030

This article discusses the “working poor,” a term that first began in the US describing those living in poverty that are unable to escape this poverty while they are working and have a source of income

This thesis discusses the impending job loss due to the use of robotics and drones in the labor force in the coming future

This article discusses how AI can potentially alleviate the three big issues in poverty: joblessness, education, and welfare.

Begins by making the point that technology is not inherently good or bad, it is the human that uses it that decides. Explains that drones are being used in places such as Kosovo to help prove land ownership. Due to the Balkan Wars of the 1990s, many women are left widowed and without sons. They have no way to prove land ownership to claim what should be theirs from their husbands.

Explains “deep learning.” Instead of a programmer telling a machine what to do, the AI will use neural networks to learn the most efficient way to complete a task, by itself. Optimistic authors believe that AI will not only correlate with poverty but help lift people out of poverty.

Easy-to-follow article for all levels of educating. Discusses the use of computer algorithms to diagnose malaria instead of doctors who need to count individual parasites. By allowing a computer to find the patterns, this shortens the time of diagnosis which brings the patient to quicker treatment, thus saving lives.

Realistic approach to artificial intelligence ending poverty in contrast to the many utopian articles. Author is less than optimistic that AI will have an impact on poverty in time for the end of the Sustainable Development Goals in 2030.

This article explains that the rate of AI is growing too quickly for people to adapt and find new jobs. Computers are being taught to do even white-collar jobs that many people assume are safe. Paralegals and lawyers are being replaced by computer programs that are taught to find the most relevant documents in court cases.

Uses many examples and quotes of historical figures. Makes the point that jobs have always been replaced by machines. The past industrial revolutions replaced many labor-intensive jobs yet produced new jobs and better-quality living.

Believes that AI will create more jobs and advance to translate languages. This will lower the cost of business with those who speak other languages. However, the need for translators is skyrocketing. This is because the machines can do simple translations, but companies need humans for complex tasks.

This article takes a different approach to the loss of jobs. It states that job loss will be severe yet remains optimistic about the future of human economy. The author believes that AI will replace so many jobs that the price of goods will inevitably fall.

An article on how two-year research turned into being able to map poverty and find the areas who need help. This AI advancement will help with the eradication of poverty in light of the 2030 goals. 

"Since 2018, World Data Lab has been experimenting with machine learning as a mechanism for processing daylight satellite images as well as uncovering powerful relationships between geographic features and economic activity. This method offers the promise of mapping entire countries and continents at the 5-10 square kilometer level using a consistent and reliable approach"

Discusses the computer algorithms that can be described as AI that use their learning to sift through information and find patterns. Points to another published article on the COMPAS algorithms that was used to sentence criminals. It was stated that the algorithm was set to specific races.

Article discusses the Sustainable Development Goal to end poverty worldwide. Explains the process of using satellite imagery to map poverty. The maps will be made available to organizations that will be able to use this information to find those that are in need of the most assistance.

An article that goes against the typical praise of AI in the aspect of fighting poverty. According to this article, yes AI will create more jobs, however, there will be a lack of skill for this workforce. 

"Penny is a simple tool to help us understand what wealth and poverty look like to an artificial intelligence built on machine learning using neural networks. The tool lets you play around with the landscape of a city, by adding and removing urban features like buildings, parks, and freeways in high-resolution satellite imagery"

An article on IBM and the Science for Social Goods' 12 projects based on the United Nations' 17 sustainable development goals. Some of these projects include: Emergency Food Best Practice and Overcoming Illiteracy. 

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