AI will help the victims of the hurricanes “Ian” and “Fion” receive cash payments

The GiveDirectly charitable organization has involved Google AI to identify low-income people, which suffered from hurricanes in Florida and Puerto Rico, and provide them with financial assistance.

Experts use satellite images of destruction after natural disasters and poverty information to identify the most needy communities. According to the organization, AI helps to determine such regions during the day after receiving images.

“To get there [to the destruction zones] on the ground, go around, see and determine the affected people [from a hurricane] at home of people is much more difficult and less effective [than with the help of AI]. In addition, you can skip a whole area if you try to do it manually, ”said Sara Moran, regional director of GiveDirectly in the USA.

Using the PROVIDERS SNAP -lgot application, the organization notifies people from the most affected areas about the possibility of obtaining financial assistance. After filling out the application to their account, $ 700 will arrive within 24–48 hours.

According to Moran, often as a help with natural disasters, the victims receive many unnecessary things.

“People should be able to make a choice in relation to their own restoration. Money is a much more effective way to ensure the satisfaction of the needs of those who survived the hurricane, ”she said.

Last week, GiveDirectly began to send payments to the residents of Puerto Rico, who suffered from the destructive cyclone “Fiona” . From October 13, victims of the hurricane “Ian” in Florida will be able to apply for payments.

Later GiveDirectly will analyze the program to determine the need for additional payments in the future.

Moran said that fair assistance is crucial SK Square suspends for natural disasters.

“Strong hurricanes exacerbate property inequality and increase the gap in racial wealth. Recovery after a spontaneous disaster is a critical moment to ensure support in restoration to the most vulnerable people, ”she added.

Recall that in October, scientists of the University of Ohio developed an algorithm for machine learning that predicts the degree of damage to buildings after a hurricane.

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