Modeling Generative Artificial Intelligence
dc.contributor.advisor | Olson, Mark | |
dc.contributor.author | Xiong, Haochen | |
dc.date.accessioned | 2024-03-07T18:19:58Z | |
dc.date.available | 2024-03-07T18:19:58Z | |
dc.date.issued | 2023 | |
dc.department | Art, Art History, and Visual Studies | |
dc.description.abstract | The release of ChatGPT-4 has led to the prevalent use of a new term in the field of artificial intelligence (AI): generative AI. This paper aims to understand generative AI more thoroughly and place it within a broader framework of models and their relationship with knowledge. By closely examining AI’s historical development, this paper will first introduce the concept of emergence to distinguish generative AI from other forms of AI. Second, by theorizing generative AI as models, this paper will evaluate their significance in human knowledge production. Third, by classifying generative AI specifically as generative models, this paper will demonstrate their unique potential, especially for art creation. | |
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dc.subject | Artificial intelligence | |
dc.subject | History | |
dc.subject | Design | |
dc.subject | Artificial intelligence | |
dc.subject | Emergence | |
dc.subject | Generative Artificial Intelligence | |
dc.subject | Generative models | |
dc.subject | Model | |
dc.subject | Procedural Modeling | |
dc.title | Modeling Generative Artificial Intelligence | |
dc.type | Master's thesis |