Introduction:
Artificial Intelligence, being conceived as a discipline to impersonate human intelligence, refers to the ability of machines to perform cognitive tasks ranging from thinking to learning, and from problem solving to decision making.
Numerous projects have been initiated worldwide, with every project taking a leap ahead to being closer to the future of AI prevalence. However, as the imperatives to incorporate automated decision making method in the public sector become prevalent, focus has to be laid upon the fact in issue as to how the use of AI in the public sector in relation to present data administration polity and national regulatory practices can be intensified. Moreover, the critical question remains whether the world is prepared for the future of smart cities.
How smart is the new smart?
AI has been the most technological breakthroughs of humanity, with incredible progression made in data collection, process and computation ability, with these agile systems ready to be deployed to take over a contrast of labor, enabling the connectivity and enhance the productivity of each task. AI’s capabilities have enlarged reaching beyond all sets of horizon, sustaining its public utility in an increasing number of fields.
AI is not a new-sprung phenomenon, as much of its theoretical and technological architecture developed for over the past 70 years. Alongside, the world over the past decade has witnessed a huge rise in the global urbanization. India, for now, had an estimate of 31% of urbanization in a survey report published in 2011, with the rate estimated to have risen up to 45% at present. While the unplanned urbanization is an indispensable prospect of a country’s economic growth but often results in congestion, over-pollution, high crime rates and poor living standards, that have the tendency to potentially burden the infrastructure and administrative energies of existent Indian cities. However, in response to the loopholes in the management of a strategic urbanization, AI offers a sustained solution, giving way to the trend of upcoming smart cities.
Many cities and towns are in the forefronts of using AI to foster their smart city endeavors. In the use of AI and the internet to alter the transmission of city services, AI offers a clearer insight and ambitious glimpse of the possibility for data to transform cities. The wider prospectus of Artificial Intelligence based tech is designed to monitor business and accordingly control related systems such as pavement lighting, maintenance of public places, and other serviceable conditions that could efficiently foster reduction of costs and modify the safety and accessibility to all forms of services smartly.
It is not a metaphor to possibly expect the notions of a predictive based service delivery mechanisms that evolve upon the vast networks of citizen data, rationalization of administrative department on the basis of foreseen service requirements, analysis of trends of social displacements, and the prevalence of AI-based grievance resolution through chat-bots. AI has the capability, and has presently been influencing the way of living, with the huge market of tech-oriented ideas such as smart rooftops that cater to the water saving applications, and for better utilization for an optimum human effort in the performance of daily chores. Expansion of AI elements would consequently be in-culminated into social media platforms, that can cater to the needs of aid to public safety by collection of information from networking sites and foretell potential activities that are a threat to the in the public eye.
Is the new smart still new?
In the city of Surat, India, the crime rate has dropped by 27% after the implementation of AI-incorporated safety methods, paving way for the technologies that are capable of detecting vulnerabilities and engaging into remedial measures to lessen the exposure to secure online platforms that contain extremely sensitive data. Furthermore, the “Kumbh Mela Experiment”, one of the largest religious gatherings of the world, AI-powered surveillance was set up to predict the crowd behaviour and the possibility of a stampede, leading to the first ever use of AI.
Across the globe, to strengthen the core research and development about the prospects of AI and related technologies, universities and research institutions from the first world countries have led the publication on AI research subjects. Moreover, in order to initiate building of the future workforce for AI, nations globally have been significantly accelerating the allocation of resources for Science, Technology, Engineering and Maths (STEM) through investments in universities, mandating new courses that necessarily incorporate the traditional notions of occupation in close nexus with AI (e.g., AI and law).
Recognizing AI’s potential to transform economies, India being regarded as the fastest growing economies of the world, has taken up a significant stake in the AI revolution, with the Hon’ble Finance Minister mandating the NITI Aayog to establish the National Program on Artificial Intelligence, in order to guide the technological innovations into R&D for the emerging existence of a well-sustained network of smart cities. The Government of India, in consideration to the mission of establishing Smart Cities, has listed 99 cities with expected investments of INR 2.04 lakh crores. The strategic components of AI that have been crucial in the development of these Smart Cities include performance at various stages, such as city improvements, city re-development and extension (greenfield development) subsequent to a pan-city initiative. The Atal Mission for Rejuvenation and Urban Transformation (AMRUT) is another affiliated initiative which targets raising the standards of infrastructure of existing cities through the country.
However, adopting narrow views towards AI implementation, in light of the barriers to produce a robust set of AI applications may seem contextual and restricted. The absence of collaborative effort, unavailability of relevant data and the streamlined concerns on privacy and security of data, including lack of formal regulation are common threats that need to be addressed in order to shift to AI. Inadequate availability of AI expertise and highly skilled man-force are the limitations, by no means, are exhaustive in nature.
The capabilities of performing AI research are limited, rather confined to a handful of academic institutions, and relies on individualistic brilliance rather than institutional competency. Increasing the pace to both core and applied research through collaborative, market oriented approach is one of the key strategies to ensure a smooth nexus between AI and human lifestyle.The new era of AI and related subject technologies would break off the nature of jobs for the time to come, thus improvisation of existing skill-sets of workforce and preparing scholars for processing practical set of skills for the dynamic universe of technology is to be kept in mind.
Conclusion
Technological innovation, in order to stand fit for the society, must pursue ambitious explorations that intent to propel the technology field. The algorithms and data used in an AI-driven application are fundamental elements in ensuring functional success.
The pursuit of AI is dynamic and has been pioneered by operation such as OpenAI, set up by Elon Musk and Sam Altman, developed with a mission to conceptualize the course of action to safe artificial generic intelligence. The door to step into the realm of AI and human co-existence is subject to the outcome of a commitment and cooperation of truly global standards to create and ensure Artificial Intelligence in all spheres of life.
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