Generative AI, Innovation, and Trust

被引：2

作者：

Piller, Frank T. ^{[1
]}

Srour, Mahdi ^{[2
]}

Marion, Tucker J. ^{[2
]}

机构：

[1] Rhein Westfal TH Aachen, Sch Business & Econ, Templergraben 55, D-52056 Aachen, Germany

[2] Northeastern Univ, Amore McKim Sch Business, Entrepreneurship & Innovat Grp, Boston, MA USA

来源：

JOURNAL OF APPLIED BEHAVIORAL SCIENCE | 2024年

基金：

美国国家科学基金会;

关键词：

generative AI; trust; innovation management; organizational capabilities;

D O I：

10.1177/00218863241285033

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

Our paper explores the integration of generative artificial intelligence (GenAI) into organizations' innovation and new product development processes, focusing on when and how to trust AI-generated outcomes in this context. We propose a framework to assess the level of trust required based on task-specific needs and the distinction between general and expert AI models. While inaccuracies in GenAI outputs can foster creativity during ideation, higher accuracy, and trust are essential for tasks requiring domain-specific expertise. The paper concludes by discussing the necessary human capabilities and organizational strategies for effectively deploying GenAI in innovation management.

引用

页数：10