📄 中文摘要
人工智能研究与商业现实之间的差距使得欧盟中小企业在失败的实施中损失了数百万。许多组织在追逐ChatGPT时，未能理解基础计算机科学的重要性，这不仅能防止幻觉，还能确保合规性并扩展工作流程。严谨的学术训练成为人工智能转型中的竞争优势。当前的人工智能领域被视为淘金热，但实际上，这是几十年前在大学实验室开始工作的延续。作者的旅程始于马拉加大学的安静学术环境，获得计算机科学博士学位，专注于人工智能领域。通过强调理论的重要性，文章呼吁企业在追求技术时应重视基础研究。
从博士到人工智能治理：为何理论胜过炒作
出处: PhD to AI Governance: Why Theory Beats Hype
发布: 2026年2月17日
📄 English Summary
PhD to AI Governance: Why Theory Beats Hype
The gap between AI research and business reality is costing EU SMEs millions in failed implementations. Many organizations chase ChatGPT without understanding the foundational computer science that prevents hallucinations, ensures compliance, and scales workflows. Rigorous academic discipline becomes a competitive advantage in AI transformation. The current AI landscape is often viewed as a gold rush, but it represents a continuation of decades of work initiated in university labs. The author's journey began in the quiet halls of the University of Malaga, where a PhD in Computer Science was earned, specializing in artificial intelligence. By emphasizing the importance of theory, the article calls for businesses to prioritize foundational research in their pursuit of technology.