Community-powered AI: Enhancing regional development through dataset diversity and ethical governance

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation Pub Date : 2025-07-16 DOI:10.1016/j.technovation.2025.103315

Zeyu Lin , Hongtao Dou , Shanlang Lin

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引用次数: 0

Abstract

This study examines the transformative impact of AI on promoting equitable regional development in China, with a particular focus on dataset diversity, community-driven data collection, and ethical governance frameworks. Employing a quantitative cross-sectional methodology, primary survey data from AI developers, policymakers, and regional planners across 31 provinces were integrated with secondary economic and technological indicators. The results reveal that higher AI dataset diversity is strongly associated with reduced income inequality, enhanced GDP growth, and improved access to education and healthcare services. Community-driven data initiatives significantly enhance dataset representativeness, improving the accuracy, fairness, and policy relevance of AI models. Furthermore, adopting ethical AI governance frameworks positively influences public trust, AI adoption rates, perceived fairness, and stakeholder engagement. Structural Equation Modeling validates the interrelationships among dataset diversity, community involvement, ethical governance, and regional development outcomes. This study highlights actionable strategies for the responsible integration of AI, offering a holistic socio-technical model to drive equitable and sustainable regional development in China.

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社区驱动的人工智能：通过数据集多样性和道德治理促进区域发展

本研究考察了人工智能对促进中国公平区域发展的变革性影响，特别关注数据集多样性、社区驱动的数据收集和道德治理框架。采用定量横断面方法，将来自31个省份的人工智能开发者、政策制定者和区域规划者的主要调查数据与次要经济和技术指标相结合。结果表明，较高的人工智能数据集多样性与减少收入不平等、提高GDP增长以及改善获得教育和医疗服务的机会密切相关。社区驱动的数据计划显著增强了数据集的代表性，提高了人工智能模型的准确性、公平性和政策相关性。此外，采用合乎道德的人工智能治理框架会对公众信任、人工智能采用率、感知公平性和利益相关者参与产生积极影响。结构方程模型验证了数据集多样性、社区参与、伦理治理和区域发展成果之间的相互关系。本研究强调了负责任的人工智能整合的可操作策略，提供了一个整体的社会技术模型，以推动中国的公平和可持续区域发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Technovation 管理科学-工程：工业

CiteScore

15.10

自引率

11.20%

发文量

208

审稿时长

91 days

期刊介绍： The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.