AI in Business and Society
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Paper Number
1141
Paper Type
short
Description
Generative AI (GenAI) has recently attracted a tremendous amount of public attention showcasing the transformational capacity that AI-based systems have on society. By generating creative outputs in multimodal formats like texts and images, GenAI is entering domains formerly seen exclusive to human ingenuity. This raises concerns about how working with AI-based systems will affect employees. Existing research on human-AI collaboration is focusing on objective decision-making settings. We contribute to the growing IS research stream that considers AI collaboration on creative tasks. In particular, we conduct an online experiment to see whether employees appreciate GenAI-generated creative texts and how personality traits affect this interaction. We find that getting input from GenAI rather than a colleague relates to fewer modifications performed to the draft. This relationship is moderated by conscientiousness suggesting that conscientious employees are less inclined to accept suggestions and hence may not gain as much from GenAI tools.
Recommended Citation
Schmidt, Corinna Vera Hedwig; Guffler, Michael; Kindermann, Bastian; and Flatten, Tessa, "Collaborating with Generative AI: Exploring Algorithm Appreciation in Creative Writing" (2023). ICIS 2023 Proceedings. 13.
https://aisel.aisnet.org/icis2023/aiinbus/aiinbus/13
Collaborating with Generative AI: Exploring Algorithm Appreciation in Creative Writing
Generative AI (GenAI) has recently attracted a tremendous amount of public attention showcasing the transformational capacity that AI-based systems have on society. By generating creative outputs in multimodal formats like texts and images, GenAI is entering domains formerly seen exclusive to human ingenuity. This raises concerns about how working with AI-based systems will affect employees. Existing research on human-AI collaboration is focusing on objective decision-making settings. We contribute to the growing IS research stream that considers AI collaboration on creative tasks. In particular, we conduct an online experiment to see whether employees appreciate GenAI-generated creative texts and how personality traits affect this interaction. We find that getting input from GenAI rather than a colleague relates to fewer modifications performed to the draft. This relationship is moderated by conscientiousness suggesting that conscientious employees are less inclined to accept suggestions and hence may not gain as much from GenAI tools.
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