Artificial Intelligence Powered Real Time Analytics Platforms for Transformative Public Engagement Interactive Policy Making and Digital Citizenship Innovation
- DOI
- 10.2991/978-94-6463-718-2_21How to use a DOI?
- Keywords
- Artificial Intelligence; Real-time Analytics; Public Engagement; Interactive Policy Making; Digital Citizenship; Generative AI; Collective Intelligence; AI Governance; Smart Cities; AI-driven Decision Making; AI in Politics; Citizen Participation; Digital Democracy; Responsible AI; AI-driven Polling; Trust in AI; AI Ethics; AI-powered Public Services; AI and Governance; AI in Government Policies
- Abstract
AI Driven real-time analytics platforms are revolutionising public engagement, interactive policymaking and digital citizenship innovation. This includes platforms that utilize artificial intelligence (AI) powered insights, collective intelligence, and generative AI to drive better governance and promote participation among citizens and improve decision-making processes. Through the synthesis of theoretical lens that includes a systematic literature review and regime approach/resources under specific conceptual schemes, this body of work provides specific directions for AI governance, including implications for smart cities, synthesis of evidence generation for AI, digital democracy, and responsible AI under the differentiated regulation. Also investigated is AI’s impact on the domains of democratic governance, political engagement and public trust, showing how AI-enhanced analytics facilitate citizen-government interactions by making them more nuanced and personalized. Ai could develop more inclusive, transparent and efficient governance models along with ethical considerations and trust-building measures, the findings showed.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - B. Raveendranadh AU - P. Kiran Kumar AU - S. Brundha AU - Sambasiva Rao Suura AU - I. Janani AU - R. Anitha PY - 2025 DA - 2025/05/23 TI - Artificial Intelligence Powered Real Time Analytics Platforms for Transformative Public Engagement Interactive Policy Making and Digital Citizenship Innovation BT - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024) PB - Atlantis Press SP - 232 EP - 242 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-718-2_21 DO - 10.2991/978-94-6463-718-2_21 ID - Raveendranadh2025 ER -