AI For Social Good: How AI Can Help Those in Need?
Have you ever wondered what society would look like if we could predict diseases or natural disasters? How many people really need help that can not be given only by humans?
Artificial intelligence can help – it has the huge potential to prevent big social, environmental and humanitarian problems. In order to achieve this potential, it has to be accessible to organizations that are already influential in these areas!
Among many uses of AI, we have highlighted the best cases that show the human side of machine learning. Here are a few inspiring examples of how the world can use (or already is using) AI for social good!
Predictive analytics provide early cancer detection
Cancer is the second leading cause of death globally, which also means that 1 in 6 deaths is caused by cancer. One of the main reasons why this disease leads to death is late detection.
As cancer keeps spreading, AI is establishing innovative solutions using predictive analytics techniques that can save lives! The main importance of these predictive analytics is improving the accuracy of diagnosis and treatment.
Technology provider for pathology laboratories PathAI determined a strong correlation between AI-encouraged and manual qualification of an important protein across numerous tumor cells.
It’s about PD-L1 protein that keeps immune cells from attacking non-harmful cells in the body, and since high amounts of this protein are a part of some cancer cells, they can deceive the immune system and avoid detection of their presence.
As AI precisely detects this protein, health professionals can have a better understanding and ability to determine whether the patient has more or less chance of developing cancer.
Emergency information is more accessible
Google Public Alerts is using AI to make emergency information more accessible. Since the launch of this AI scheme in 2017, it has activated more than 200 SOS alerts and tens of thousands public alerts which have been viewed more than 1.5 billion times.
When it comes to natural disasters Google, inter alia, develops a major project focused on predicting the floods. Every year floods affect about 250 million people and cause damage worth millions of dollars. Using AI with a wide range of data Google is trying to create smart models that can predict the floods, and incorporate these information into public alerts.
Similar initiations are focused on earthquakes and wildfires. If you ever experienced some of these natural disasters, you probably know how terrifying they can be.
According to this, it’s important to mention a deep learning scientist Thibaut Perol who leads an AI project called ConvNetQuake. He develops a system that uses a machine-learning algorithm that analyzes seismograms to determine whether the seismic activity is an earthquake or simply low-level noise.
The project was successfully tested in Oklahoma, where the system detected 17 times more earthquakes compared to traditional measures. Thanks to this, ConvNetQuake became the first world network that can detect earthquakes, even those with low level which traditional methods fail to recognize.
Agricultural processes are accelerated
As global warming, climate change and water pollution are becoming a growing problem, agriculture could be dealt with a sad future. Fortunately, there is a startup that makes big efforts to prevent it, using machine learning.
It is an India-based ag-tech startup Imago AI, that uses AI to increase crop yields and reduce food waste. The company operates with computer vision to make automated tedious tasks like measuring crop quality and weighing yields. Except this solution speeds up the process, it can help farmers to identify plants having a disease. This encourages us to say that the future of agriculture has a big chance to be bright!
AI is reducing the crime by predicting crime spots
Imagine the situation where a thief comes to his next heist spot, and the policeman is there already waiting for him. AI made it possible!
AI has a great approach to detecting crime thanks to data related crime type, crime locations and criminal weapons that can predict the future similar incidents that might happen in the surrounding areas. The most important advantage of using AI in criminal cases is a quick data processing and saving the time that can be the key factor in stopping the crime.
AI provides a new approach for resolving many problems in our society, from reducing crime, fighting with the disease to tackling natural disasters. Maybe it’s time to put aside traditional methods that can’t make an impact anymore and join the human forces with the power of human-friendly AI!