Publication Type
Journal Article
Version
submittedVersion
Publication Date
7-2023
Abstract
In this paper, drawing inspiration from the human creativity literature, we explore the optimal balance between novelty and usefulness in generative Artificial Intelligence (AI) systems. We posit that overemphasizing either aspect can lead to limitations such as hallucinations and memorization. Hallucinations, characterized by AI responses containing random inaccuracies or falsehoods, emerge when models prioritize novelty over usefulness. Memorization, where AI models reproduce content from their training data, results from an excessive focus on usefulness, potentially limiting creativity. To address these challenges, we propose a framework that includes domain-specific analysis, data and transfer learning, user preferences and customization, custom evaluation metrics, and collaboration mechanisms. Our approach aims to generate content that is both novel and useful within specific domains, while considering the unique requirements of various contexts.
Keywords
hallucinations, memorization, generative artificial intelligence, creativity
Discipline
Artificial Intelligence and Robotics | Marketing
Research Areas
Marketing
Publication
California Management Review
ISSN
0008-1256
Publisher
SAGE Publications
Citation
MUKHERJEE, Anirban. and CHANG, Hannah H..
Managing the creative frontier of Generative AI: The novelty-usefulness tradeoff. (2023). California Management Review.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/7376
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://cmr.berkeley.edu/2023/07/managing-the-creative-frontier-of-generative-ai-the-novelty-usefulness-tradeoff/