用商标数据追踪企业如何商业化AI技术，补充专利的不足。
Measuring AI innovation with trademark data
- 用商标数据捕捉AI技术在产品和服务中的实际应用
- 覆盖所有行业，数据及时且全球可得
- 适合政策制定者和企业评估AI扩散与创新
研究人员、管理者和政策制定者正在探索多种方法和数据源来绘制人工智能（AI）的发展与扩散路径。本文指出，商标数据提供了重要机遇。我们认为，AI商标可补充AI专利，揭示企业如何将AI技术应用于新产品与服务的开发。关键优势在于，商标数据具有时效性，覆盖所有经济部门，且在全球范围内可用。本文通过意大利企业的实证分析展示了其应用价值，并讨论了在不同分析层级上使用商标数据应对AI发展与扩散新问题的潜力。
原文摘要 · Abstract (English)
Researchers, managers and policymakers are exploring different approaches and data sources to map the development and the diffusion of Artificial Intelligence (AI). In this research note, we illustrate the opportunities offered by trademark data. We argue that AI trademarks can complement AI patents to capture different dimensions of AI innovation. AI trademarks can reveal the extent and ways in which companies exploit AI technologies to develop new goods and services. Importantly, trademark data offer a timely and globally available data source that covers all economic sectors. We present insights from using AI trademarks in an empirical exploration of Italian firms. In our discussion, we reflect on how AI trademarks can be used at different levels of analysis to tackle emerging questions about the development and diffusion of AI.
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