生成语法
构思
工作流程
多样性(控制论)
快速成型
计算机科学
知识管理
授权
人工智能
软件工程
工程类
认知科学
心理学
管理
机械工程
数据库
经济
作者
Volker Bilgram,Felix Laarmann
出处
期刊:IEEE Engineering Management Review
[Institute of Electrical and Electronics Engineers]
日期:2023-05-04
卷期号:51 (2): 18-25
被引量:73
标识
DOI:10.1109/emr.2023.3272799
摘要
Easy-to-use generative Artificial Intelligence (AI) is democratizing the use of AI in innovation management and may significantly change the way how we work and innovate. In this article, we show how large language models such as GPT can augment the early phases of innovation, in particular, exploration, ideation, and digital prototyping. Drawing on six months of experimenting with large language models in internal and client innovation projects, we share first-hand experiences and concrete examples of AI-assisted approaches. The article highlights a large variety of use cases for generative AI ranging from user journey mapping to idea generation and prototyping and foreshadows the promising role LLMs may play in future knowledge management systems. Moreover, we argue that generative AI may become a game changer in early prototyping as the delegation of tasks to an artificial agent can result in faster iterations and reduced costs. Our experiences also provide insights into how human innovation teams purposively and effectively interact with AIs and integrate them into their workflows.
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