A Review of Generative AI in the Gaming Sphere 


Vol. 1,  No. 1, pp. 1-10, Aug.  2024
10.23246/AAIRJ.2024.01.01.04


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  Abstract

Interest in generative artificial intelligence has noticeably increased across many industries in the past decade. There has especially been a recent surge of interest in using generative AI in the video game industry. Games have had different types of artificial intelligence woven into them for years, which led to generative AI being the logical next step in furthering game development. While the advancement of generative AI in a non-gaming environment has been impressive, focusing on what can be done in video games can improve not just the technology but also the creativity of uses for generative models. This paper specifically reviews what types of generative AI have been used and how they have changed the process of developing and playing games. We will look into different generative AI types such as large language models (LLMS) and voice cloning and discuss how each is built and works and how they work within video games. Finally, we will discuss new ways these types of generative AI can be used in future games with the evolution of the technology.

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  Cite this article

[IEEE Style]

S. E. Shomo, B. R. Boice, M. K. Gungor, "A Review of Generative AI in the Gaming Sphere," AAIRJ, vol. 1, no. 1, pp. 1-10, 2024. DOI: 10.23246/AAIRJ.2024.01.01.04.

[ACM Style]

Samantha E. Shomo, Brigham R. Boice, and Murat K. Gungor. 2024. A Review of Generative AI in the Gaming Sphere. AAIRJ, 1, 1, (2024), 1-10. DOI: 10.23246/AAIRJ.2024.01.01.04.

[KICS Style]

Samantha E. Shomo, Brigham R. Boice, Murat K. Gungor, "A Review of Generative AI in the Gaming Sphere," AAIRJ, vol. 1, no. 1, pp. 1-10, 1. 2024. (https://doi.org/10.23246/AAIRJ.2024.01.01.04)