Paper Number
1554
Paper Type
Complete Research Paper
Abstract
Computationally created art, designs, and innovations play an increasing role in today’s organizational reality. Despite the potential of Artificial Intelligence (AI)-based systems to render creative processing more efficient, extant research does not convincingly address the way their creations are received. Since the effectiveness of AI creativity cannot be assessed by objective means available to other forms of AI, such as accuracy scores, the success of creative systems rather relies on the subjective attitude of individuals developing it, using it, and consuming its creations. In an experimental survey study, we theorize about and find a significant difference in attitude between human-created vs AI-generated art that discriminates against computational creators. We leverage theories of attitude formation to understand the role of two contextualized variables of ego-involvement, i.e., in the arts and in AI, in attitude formation in response to self-affirming communication as a basis to mitigate negative attitudes towards AI creativity.
Recommended Citation
Mateja, Deborah Naomi; Suddenko, Maria; Fallon, Monica; Dietrich, Alexander; and Heinzl, Armin, "The Role of Ego-Involvement in Evaluating AI Creativity" (2024). ECIS 2024 Proceedings. 2.
https://aisel.aisnet.org/ecis2024/track20_adoption/track20_adoption/2
The Role of Ego-Involvement in Evaluating AI Creativity
Computationally created art, designs, and innovations play an increasing role in today’s organizational reality. Despite the potential of Artificial Intelligence (AI)-based systems to render creative processing more efficient, extant research does not convincingly address the way their creations are received. Since the effectiveness of AI creativity cannot be assessed by objective means available to other forms of AI, such as accuracy scores, the success of creative systems rather relies on the subjective attitude of individuals developing it, using it, and consuming its creations. In an experimental survey study, we theorize about and find a significant difference in attitude between human-created vs AI-generated art that discriminates against computational creators. We leverage theories of attitude formation to understand the role of two contextualized variables of ego-involvement, i.e., in the arts and in AI, in attitude formation in response to self-affirming communication as a basis to mitigate negative attitudes towards AI creativity.
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