人工智能技术赋能中国边疆社会工作问题研究

Research on the Empowerment of Social Work in China’s Border Areas by Artificial Intelligence Technology

Due to the special geographical environment, ethnic composition, and economic development level in border regions, the field of social work faces challenges such as a shortage of talents, insufficient resources, low service efficiency, and diverse demands. The characteristics of data processing, intelligent decision-making support, and virtual-real integration of artificial intelligence technology are in line with the needs of border governance, providing new perspectives and methods to solve problems. This study analyzes the characteristics and dilemmas of social work in border regions, and explores its application models in this field, such as cross-platform data collection and analysis, decision-making assistance, optimization of service delivery processes, and innovation in educational technologies (such as training with VR and AR). It is expected to improve service efficiency and accuracy, break through geographical limitations, and promote departmental collaboration. However, the application of artificial intelligence also faces adaptability problems (such as weak network infrastructure and algorithm bias), data security risks, a shortage of professional talents, and ethical and legal challenges (such as algorithmic prejudice and unclear definition of responsibilities). Therefore, the study proposes strategies such as strengthening infrastructure construction, establishing a data protection mechanism, cultivating compound talents, and improving the ethical and legal system, to promote its deep integration with social work in border regions and the modernization of border social governance.

边疆地区因地理环境、民族构成和经济发展水平特殊，社会工作领域面临人才匮乏、资源不足、服务效率低和需求多样化等挑战。人工智能技术的数据处理、智能决策支持和虚实融合特性与边疆治理需求吻合，为解决问题提供新视角和方法。本研究分析边疆社会工作特征与困境，探讨其在该领域的应用模式，如跨平台数据收集分析、辅助决策、优化服务递送流程、创新教育技术（如用VR和AR培训），有望提高服务效率和精准度，突破地理限制，促进部门协同。然而，人工智能应用也面临适应性问题（如网络基础薄弱、算法偏差）、数据安全风险、专业人才短缺和伦理法律挑战（如算法偏见、责任界定不明）。为此，研究提出加强基础设施建设、建立数据保护机制、培养复合型人才和完善伦理法律体系等策略，推动其与边疆社会工作深度融合，促进边疆社会治理现代化。