Increasing popularity, the invention of advanced devices, and fast application of AI have vastly encouraged the introduction of smart cities. Development of social, economic, and environment-friendly opportunities have been crucial in the planning, design, and creation of smart cities. Various effective Machine Learning methods have helped in accessing, processing, and analysing the data concerning traffic, resource management, healthcare, and law sector, thus transforming the urban landscape.

Although creating smart cities involves numerous techniques, ensuring their effective application is pertinent. If we are willing to act upon the activities to ensure smart cities, we should ensure that they are compatible and convenient for everyone. Machine Learning methods should not be applied to design services that are not liable for social, political, and economic development; the data that they are based on may lead to a stratified and partial community.

Thus, it is crucial that we conduct the below research properly so that we can ensure that the smart cities are made flawlessly.

Data implementation and AI

There is wide availability of data and relevant services that require AI-driven practices, infrastructure, and policies for the effective functioning of the smart cities. 

Data bias and social gradation

Since we have access to automation, AI, and ML services, it is crucial that we investigate big data analytics and artificial intelligence to create an unbiased society.

Directing AI enhancement in the right path

Efficiently discerning digital data technologies will ensure safety, an improved transportation system, and necessary resources.

Ensuring privacy

Instead of using data algorithms, blockchains can be used for digital networks in smart cities. Blockchain technology ensures privacy and security of data.

Analysis of data

Analysing the intelligent data algorithms to comprehend future prospects and effective policies, thus creating an unbiased society.

These are some of the sectors in which proper research needs to be done if the ultimate goal is to build smart cities. The vast number of technologies and integrations required to actually implement a smart city in action, as well as maintain it long-term means that extensive research is as yet required to reach that level of technical capability.