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How might artificial intelligence (AI) prevent us from destroying ourselves? The seventh episode of this YouTube Original series provided some insights on how AI could help prevent animal extinction, famine, and war.


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Take the battle against ivory poachers. Trap cameras take photos of anything that moves. They capture images of elephants, a host of other animals, and possibly the occasional poacher. But manually processing the photos for poachers is so time-consuming that it might be too late to save the elephants.

However, an AI-enabled camera, one with a vision processing unit, detects people and sends only those photos immediately to the park rangers. This gives the rangers more time to intercept the poachers.

In the second segment of the video, the focus shifted to the meat that we eat. Like it or not, animal husbandry contributes to climate change by taking away natural resources and emitting greenhouse gases. If we are to shift to not-meat but not rely on Impossible Burgers, what alternatives are there?

One is an AI called Giuseppe that does not reconstitute meat and creates the perception of meat instead. It analyses how molecules in all foods create taste and texture, and recommends blends of analogues from plants.

NotCo, the company that uses Giuseppe, has already created NotMayo, NotMilk, and NotMeat. The video featured the development of NotTuna.

The third part of the video focused on predicting earthquakes. Like the poacher detection tool, sensors collect more noisy data than useful data. AI can be trained to recognise cultural sounds like transportation and construction, and distinguish those from a possible earthquake.

The final segment asked a broad question: Might AI be able to prevent disasters, unrest, or wars that stem from our misuse of natural resources?

To answer this question, a small company in the USA collects satellite images and relies on AI to identify and differentiate objects like solar panels and riverbeds. With AI as a tool, the company makes predictions like the output of cultivated crops in a year.

The predictions extend to man-made infrastructure and natural water sources. The example featured in the video was how measurements of snowfall could be used to predict water supply, which in turn correlates to crop yields.

If the snowfall was low, farmers could be advised to plant drought-resistant crops instead. If unrest or war stem from food or water shortage, such predictions might inform deployments of food aid before trouble erupts.

The overall message of this video countered the popular and disaster movie narratives of human-made AI running amok and killing us. Instead, it focused on how AI actually helps us become better humans.


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