Development of Smart Cities with AI Driven Public Services in India
Dr. A. Mallesham
Assistant Professor of Political Science Nagarjuna Government College (A), Nalgonda, Telangana
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http://doi.org/10.37648/ijps.v21i03.024
Abstract
Utilizing Artificial Intelligence (AI) to revolutionize urban living, India's Smart Cities Mission is implementing technologies such as Internet of Things (IoT), sensors, and data analytics to improve the efficiency of services in areas such as traffic, waste, energy, and public safety. This would ultimately lead to an improvement in governance and quality of life. Adaptive traffic management, predictive energy grids, optimized waste collection, and AIpowered public safety systems are some of the key applications. These applications all aim to address the challenges of rapid urbanization and foster inclusive growth through data-driven decisions. However, implementation faces challenges such as digital inequality, ethical concerns (Fairness, Accountability, Transparency, Ethics - FATE), and infrastructural gaps. In order to achieve successful and equitable outcomes, human-centric design and robust policy frameworks are required. Urban areas are progressively situated at the intersection of the globe's most urgent challenges: addressing extreme weather phenomena, overseeing migration, preserving affordability, and guaranteeing public safety. As the urban population increases, authorities are seeking technological solutions to address their most urgent challenges. Although numerous individuals restrict the concept of smart cities to those including flying cars and sophisticated robots, the truth is that any city or town that has integrated sensors into its infrastructure, even something as basic as streetlights, qualifies as a smart city. By equipping essential systems with connection and integrating sensors into current infrastructure, municipalities can enhance their comprehension of resource consumption, citizen behaviour, and service deficiencies. The emergence of AI, particularly generative AI, has created numerous opportunities for improving service accessibility and increasing efficiency. Nonetheless, these breakthroughs also introduce new risks.
Keywords:
AI; India's Smart Cities; FATE
References
- Ahmed, N. (2023, November 7). How the personal data of 815 million Indians got breached/explained. The Hindu. https://www.thehindu.com
- Albino, V., Berardi, U., & Dangelico, R. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of Urban Technology, 22(1), 3-21. https://doi.org/10.1080/10630732.2014.942092
- Ali, O., Murray, P., Momin, M., Dwivedi, Y., & Malik, T. (2024). The effects of artificial intelligence applications in educational settings: Challenges and strategies. Technological Forecasting and Social Change, 199, Article 123076. https://doi.org/10.1016/j.techfore.2023.123076
- Al Jazeera. (2021, January 22). Indian city plans facial recognition to spot ‘women in distress’. Al Jazeera. https://www.aljazeera.com
- Ashwini, B., Savithramma, R., & Sumathi, R. (2022). Artificial intelligence in smart city applications: An overview. In 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 986-993). IEEE. https://doi.org/10.1109/ICICCS53718.2022.9788152
- Cugurullo, F. (2020). Urban artificial intelligence: From automation to autonomy in the smart city. Frontiers in Sustainable Cities, 2, Article 38. https://doi.org/10.3389/frsc.2020.00038
