Paper Number

1986

Paper Type

CRP

Abstract

The advance of generative artificial intelligence (GenAI) is rapidly progressing and inundating markets with its outputs. Moreover, the creativity of these systems is increasing, potentially leading to the creation of disruptive innovations in the future. Previously, research has examined acceptance of Artificial Intelligence (AI) systems and disruptive innovations independently. We are combining two research areas to shift the focus from studying the acceptance of AI systems to examining the acceptance of GenAI generated disruptive innovations. Thus, we ask, what factors drive the acceptance of disruptive innovations created by GenAI? Therefore, we conducted 18 interviews with 19 AI experts and identified several factors that could enhance acceptance in this case. The perceived usefulness of disruptive innovations appears to be the key factor, which indicates internal validity with existing research. However, higher quality expectations and the desire for traceability and comparability of disruptive innovations suggest a distinction from human-created ones.

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Jun 14th, 12:00 AM

Navigating Public Sentiment: Acceptance of Disruptive Innovations Created by Transformational Generative AI

The advance of generative artificial intelligence (GenAI) is rapidly progressing and inundating markets with its outputs. Moreover, the creativity of these systems is increasing, potentially leading to the creation of disruptive innovations in the future. Previously, research has examined acceptance of Artificial Intelligence (AI) systems and disruptive innovations independently. We are combining two research areas to shift the focus from studying the acceptance of AI systems to examining the acceptance of GenAI generated disruptive innovations. Thus, we ask, what factors drive the acceptance of disruptive innovations created by GenAI? Therefore, we conducted 18 interviews with 19 AI experts and identified several factors that could enhance acceptance in this case. The perceived usefulness of disruptive innovations appears to be the key factor, which indicates internal validity with existing research. However, higher quality expectations and the desire for traceability and comparability of disruptive innovations suggest a distinction from human-created ones.

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