Natural disasters are known to cause over 60,000 deaths a year which would account for 0.1% of our total population. They are unpredictable, fast, and very hard to contain once the damage is already done. During these troubling times, many individuals have no access to shelter or immediate help if it is needed. There are many different ways how this problem could be solved but none of them offer a clear and viable solution. There are loopholes and many different hurdles when trying to solve this issue but artificial intelligence may be the answer we are all looking for. WEBINT may be perceived as a security protocol but it can be so much more than that.
Natural Disasters and Social Media
Most of the communication that is done within our society has moved online, specifically to social media networks. They serve as a communication bridge for different cultures, communities, and individuals. Sharing information between public safety organizations and victims of natural disasters such as floods, earthquakes, and hurricanes are very important. Social media is helpful in such situations but the distortion of information is too high and some sort of filtering is required. This is where artificial intelligence steps in.
With the help of AI, natural disasters cyber protection can be achieved with success. AI acts as an information filter that collects, analyzes, and processes all web data to enable the user to find accurate insights. Since most of the conversations are happening on social media during a time of a disaster, almost all of it is available publically so acquiring it is not an issue. Public safety and relief organizations can have easy access to eyewitness information and accurate data about the critical areas that need immediate attention. In such an environment, data is collected directly from impacted areas and forwarded to organizations and government bodies that are responsible for such events.
Understanding the scale of collected data
To completely understand disaster management software it is important to mention that the information collection and filtering process is a lot more complex than first thought. While it may seem that only surface data is collected, AI actually goes as deep as it can and provides the most reliable and accurate information as an end product. Artificial intelligence, in this scenario, crawls news websites, local news stations, and many other media outlets that may be of service in a time of disaster. If a specific area is hit by an earthquake it is only logical for AI to collect and process most of the data from that specific area or region. The geolocation discovery modules allow for easy extraction of web content from geographically defined location-based radius all thanks to GPS-derived posts, video content, or any other form of online data.
It is clear now more than ever that communication and data sharing is moving online almost completely and that government agencies need to keep up with technological changes in our society. With the help of artificial intelligence and easy-to-use interfaces, response times can be shortened and the accuracy of data can be increased when natural disasters occur. Rather than acting upon one report, it is now easy to distinguish between an area that needs immediate attention and those that aren’t the highest priority. Improved efficiency and fair priority determination are almost impossible without accurate data. AI is bound to play a key role in this process.