The term "generative AI" refers to computational techniques that are capable
of generating seemingly new, meaningful content such as text, images, or audio
from training data. The widespread diffusion of this technology with examples
such as Dall-E 2, GPT-4, and Copilot is currently revolutionizing the way we
work and communicate with each other. In this article, we provide a
conceptualization of generative AI as an entity in socio-technical systems and
provide examples of models, systems, and applications. Based on that, we
introduce limitations of current generative AI and provide an agenda for
Business & Information Systems Engineering (BISE) research. Different from
previous works, we focus on generative AI in the context of information
systems, and, to this end, we discuss several opportunities and challenges that
are unique to the BISE community and make suggestions for impactful directions
for BISE research.

从训练数据中生成新的、有意义的内容（如文本、图像或音频）的计算技术被称为 “生成型人工智能”。本文对生成型人工智能在社会技术系统中的实体进行了概念化，并提供了模型、系统和应用的示例。在此基础上，本文介绍了当前生成型人工智能的局限性，并提出了商业与信息系统工程（BISE）研究的议程。与以往的研究不同，我们将重点放在生成型人工智能在信息系统的背景下，讨论了对 BISE 社区来说独特的几个机遇和挑战，并提出了对 BISE 研究具有影响力的方向建议。