Ai-Empowered Inclusive Strategies for Fishing Villages
Abstract
With the development of the economy and society, the continuous development and application of artificial intelligence have gradually become an important factor and driving force to promote the transformation and upgrading of all walks of life. Promoting artificial intelligence has inevitably become the best way to empower the governance and services of fishing village communities, which is also the general trend of future development. Artificial intelligence, as an organized force, plays an important role in community governance, but at present, the potential of artificial intelligence to empower community governance in fishing villages has not been fully tapped. Through literature survey, literature review and comparative analysis, this paper investigates and studies the current situation of community governance in artificial intelligence-empowered fishing villages, finds and raises some related problems. Then the survey found the significant role of artificial intelligence on community governance in fishing villages. Finally, according to the current situation of AI-empowered fishing village community governance, some constructive suggestions are put forward about AI-empowered inclusive strategies for fishing villages.
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Mai JJ. Observation and Enlightenment of Advanced Community Governance Model at home and abroad [J]. Journal of Hunan University of Science and Technology (Social Science Edition), 2013, 16(04): 86-89.
Yan ZL, Deng WZ. An Analysis of the Challenges and Path Innovation of Urban Community Governance in China [J]. Journal of Shanghai University of Administration, 2014, 15(4): 40-48.
Shi YG. The Current Situation, Problems and Some Thoughts of Urban Community Governance in China [J]. Journal of Shanghai University of Administration, 2013,14(2):88-97.
Meng LP, Tian C, Xu WS. Artificial intelligence endows the integration mode and the implementation path of capable urban community governance [J]. The Shanghai Journal of Administration,2021(3).
DOI: https://doi.org/10.18686/esta.v9i4.302
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Copyright (c) 2023 Jinghui Ma, Peng Du, Xiping Wang, Shuyue Peng, Jinhan Yi
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