AIML in Public Safety & Disaster Scenario

The use of artificial intelligence and Machine Learning (AIML) systems can be an effective method for automating disaster response, but they need to be properly trained to interpret disasters for them to be useful.

Guest talk at the Indian Institute of Technology, Guwahati zoom-live session on the launch of the 2022 batch of AIML certification, addressed the questions like;

  1. How AIML is helping this world to be a safer planet for a living?
  2. How big is this disaster problem?
  3. How humans have become intelligent over years by using Artificial Intelligence and Machine Learning to handle Disasters?
  4. How the wildfire in technologically advanced countries is getting handled or maturing to get ready to handle?
  5. How drones are helping to fight disasters?
IIT-Guwahati Talk: Artificial Intelligence & Machine Learning in Public Safety & Disaster Scenario

Timestamps
00:00 Opening
01:37 Introduction
04:47 Understanding the problem
07:51 The importance of data
12:46 Storytelling the wildfire scenario
21:14 Data is key! IoT & Sensors with AIML
23:25 Case Study: Wildfire
38:09 Autonomous Drones preventing man-made disasters
41:03 Closing note
44:14 Question 1: Who and How to prepare historical data? And is that an AI engineer job?
45:33 Question 2: If the data training is wrong, can we identify that?

There have been more than 11000 disasters associated with weather, climate, and water during the past 50 years, resulting in 2 million deaths and US$ 3.6 trillion in damage. During this period, the average number of deaths reported by disaster has dropped by a third. However, the number of disasters recorded has increased five-fold, while economic losses have increased by seven-fold.

Using artificial intelligence can help all countries improve disaster management efforts thereby leaving no one behind. By combining new insight and data, we can create powerful predictions that can save lives on a massive scale.

In order for AIML to succeed, data needs to be open, accessible, and interoperable as they are the basis for models based on physical understanding and decades of research into interactions between the atmosphere and oceans.

The AIML in Public Safety & Disaster Scenario presentation used in the talk

In this document, we will refer to a generalized and broader use case of AIML and IoT in Disaster Response scenarios.

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