对比新加坡，评估匈牙利AI战略实施成效并提出改进方案
Hungary and AI: efforts and opportunities in comparison with Singapore
- 从战略、治理、时间、财务四维度评估匈牙利22项目标
- 公共投资达46.5亿欧元，仅半数目标有公开资金数据
- 适合关注国家AI政策比较与落地挑战的研究者参考
本研究通过分析战略文件、公开财政记录及对匈牙利人工智能联盟主席和政府人工智能事务首席顾问的专家访谈，评估匈牙利国家人工智能战略及其实施情况。对匈牙利战略中的22个目标，从概念、治理、时间与财务维度进行评估，并与新加坡国家人工智能战略NAIS 1.0和NAIS 2.0对标。研究发现，匈牙利在人工智能领域的公共投资总额预计达4.65亿欧元。但仅有半数目标有公开可查的财务数据，且仅三个项目占所有已记录资金的98%。实施中存在因部委重组导致的执行碎片化问题，自2020年起缺乏定期双年审查机制。论文还基于新加坡框架，为匈牙利新一期人工智能战略提出建议：适应大语言模型时代、重构现有三螺旋合作网络以提升对话与倡导效率，并打造东西方汽车AI实验的枢纽角色。
原文摘要 · Abstract (English)
The study assesses Hungary's National AI Strategy and its implementation through the analysis of strategic documents, publicly available financial records, and expert interviews with the Hungarian AI Coalition President and Chief Strategic Advisor to the Government Commissioner for AI. 22 goals from Hungary's strategy were evaluated through conceptual, governance, temporal, and financial dimensions before being benchmarked against Singapore's National AI Strategies (NAIS 1.0 and NAIS 2.0). Key findings include an estimated total of EUR 4.65 billion in AI-related public investment in Hungary. Openly available financial data was found for only half of the evaluated goals, and just three projects made up 98\% of all documented funding. The research also reveals Hungary's implementation challenges, including fragmented execution following ministerial reorganizations and the absence of designated biennial reviews since 2020. Furthermore, the paper provides targeted recommendations for Hungary's forthcoming AI strategy, drawing on Singapore's framework as a reference point. These include adapting to the era of large language models, restructuring the existing triple helix network to foster more effective dialogue and advocacy, and positioning the country as an East-West bridge for automotive AI experimentation.
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