Machine Learning and Artificial Intelligence algorithm have tremendously increasing to become integral part of different businesses. As now they are creating their way to smart city creativities, intending to automate and advance municipal activities and operations at large. Usually, a city when known as a smart city means that it is leveraging some kind of internet of things and machine learning equipment to glean data from different points.
A smart city has numerous use cases for AI-driven and IoT-enabled technology, from maintaining a better environment to progressing public transport and safety. By leveraging AI and machine learning algorithms, along with IoT, a city can plan for better smart city traffic solutions making sure that populations get from one point to another as safely and efficiently as possible. Machine Learning collects data from many points and takes it all to a central server for further implementation and once data is collected, it has to be utilized in making a city smarter.
Solving City Issues with Artificial Intelligence and Machine Learning
Generally machine learning takes the data generated by different apps such as Healthcare Applications, IOT-enabled cars, Etc. And influences it to identify design and learn how to optimize the given set of services. This tool is able to mark the smart city experience by combining information about the most used roads in a city and then apply it to a transportation support.
Variously, machine learning and artificial intelligence both are very helpful in waste group and its proper management and removal which are a viral municipal activity in a city. Consequently, the technology for smart reprocessing and waste management offers a maintainable waste management system.
Artificial Intelligence has the ability to understand and how the cities are being used and how they are working. It support to making city planner in understanding how the city is responding to various changes and creativity.
In the way, Artificial Intelligence powered computer vision systems, for example, could enable computers to spot millions of elements of city life in a response, including people, public workers, cars, accidents, fires, disasters, trash and much more. This system allows not only independent monitoring but to make decision based on the performance of each of these elements, changing behaviors over the training course of each day or proper time, and responses to city systems by each section.
Read, more about AI : Artificial Intelligence & Why It Matters?
How AI and ML will personalize smart city skills
Machine learning tools for personalization are already used in current marketing. In the same way, they are used to forecast products one individual might like by connecting it with other similar products through latest machine learning algorithms such as KNN and K-Means.
The same procedure we can do for smart cities in a bit different application. For example, one can collective information about the most used roads in a city and then implement a transportation system that aims to distract surplus traffic from the busy roads during rush time. In this and other similar ways big data, IoT, and ML can have great potential in the implementation of smart city projects all over the world.
As machine learning and AI are converting the way cities operate, deliver and maintaining public facilities, the technologies come with some disadvantages.
Drawbacks of ML and AI-powered smart cities
AI and ML tools can promote or even accidentally spread bias that was unintentionally twisted into the system.
For example, let us take the example of the Microsoft Tay Chatbot which was skilled using Tweets from people. So when people started to use rude and racist comments against the chatbot, it started to respond the feeling. Although this might seem trivial, when such technologies are implemented in places like law implementation, citizens will face the biggest risk from law enforcers themselves.
Although the implementation of Machine learning and Artificial intelligence look like ease and improve city services and life in general for people, the penalties of a wrongful or even mistaken use should never be ignored or moderated. Still, in its beginning, smart cities need to build a system of checks so that there is no room for a threat to privacy or bias from within the system.
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Also, read: Machine Learning V/S Artificial Intelligence
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