探讨生成式AI在科技评估中的应用与风险
Generative KI für TA
- 从使用和研究双重角度分析生成式AI在科技评估中的作用
- 指出技术发展无法消除结构性风险，如偏见与不可控性
- 提出可行解决方案并举例说明实际应用场景
许多科学家在科研中使用生成式AI，科技评估（TA）领域也不例外。TA对生成式AI的应用包含两方面：一方面将其作为工具用于评估工作，另一方面将其作为研究对象。本文简要概述生成式AI现象，并提出其在TA中应用的必要要求。随后深入讨论由结构因素引发的问题根源。尽管生成式AI持续演进，但结构性风险依然存在。文章最后提出若干解决方案并评估其可行性，同时提供生成式AI在实际TA工作中应用的实例。
原文摘要 · Abstract (English)
Many scientists use generative AI in their scientific work. People working in technology assessment (TA) are no exception. TA's approach to generative AI is twofold: on the one hand, generative AI is used for TA work, and on the other hand, generative AI is the subject of TA research. After briefly outlining the phenomenon of generative AI and formulating requirements for its use in TA, the following article discusses in detail the structural causes of the problems associated with it. Although generative AI is constantly being further developed, the structurally induced risks remain. The article concludes with proposed solutions and brief notes on their feasibility, as well as some examples of the use of generative AI in TA work.
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