10 Wonderful Examples Of Using Artificial Intelligence (AI) For Good

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One of the many benefits of using artificial intelligence (AI) is to help us view societal problems from a different perspective. While there’s been much hubbub about how AI might be misused, we must not overlook the many ways AI can be used for good. Our global issues are complex, and AI provides us with a valuable tool to augment human efforts to come up with solutions to vexing problems. Here are 10 of the best ways artificial intelligence is used for good.

Artificial intelligence, powered by deep-learning algorithms, is already in use in healthcare. Specifically, AI’s imaging capabilities are promising forcancer identification and screening, including breast cancer. Artificial intelligence is also used to predict the development of diseases across a healthcare network. A group at Mount Sinai used deep learning-based AI algorithms to predict the development of diseases with 94% accuracy, including cancers of liver, rectum, and prostate. Thanks to published cancer research, clinical trials, and drug development, there’s a plethora of data that AI can help to review and then guide healthcare decision-making.  

Did you knowThe World Bee Project is using artificial intelligence to save the bees? The global bee population is in decline, and that’s bad news for our planet and our food supply. In a partnership with Oracle, The World Bee Project hopes to learn how to help bees survive and thrive by gathering data through internet-of-things sensors, microphones, and cameras on hives. The data is then uploaded to the cloud and analyzed by artificial intelligence to identify patterns or trends that could direct early interventions to help bees survive. Ultimately, artificial intelligence makes it easier to share real-time information on a global scale and take action to save the bees.  

Another way artificial intelligence is used for good is to help people with disabilities overcome them. Huawei usedAI and augmented reality to create StorySign, a free mobile app that helps deaf children learn to read by translating the text into sign language. The company also createdTrack.Ai, an easy-to-use, affordable device that can identify visual disorders in children so treatment can begin before the disorders cause blindness.Facing Emotions, another AI app created by Huawei, translates emotion into short and simple sounds. The app assesses the emotion it sees on another’s face to help blind people “see” the emotion of the person they are talking with. The app uses the rear camera on the phone to evaluate the nose, mouth, eyebrows and eyes, and artificial intelligence to analyze the expression on these facial features and what emotion they convey—contempt, anger, fear, disgust, sadness, happiness and surprise.

We can make tremendous progress in solving one of the world’s biggest issues with the support of artificial intelligence.Climate change is a gargantuan problem, but several thought leaders in AI and machine learning believe technology might be able to tackle it. Machine learning can improve climate informatics—machine learning algorithms power approximately 30 climate models used by the Intergovernmental Panel on Climate Change. Artificial intelligence can also help educate and predict the impacts of climate change on different regions. Researchers from the Montreal Institute for Learning Algorithms (MILA) use GANs (generative adversarial networks) to simulate the damage of severe storms and rising sea levels.

Another way AI is put to work for the planet is in conservation efforts and allows underfunded conservationists an opportunity to analyze data inexpensively. A team from theUniversity of Hawaii’s Kauai Endangered Seabird Recovery Project used AI to analyze 600 hours of audio to detect the number of collisions between birds and power lines.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.