AREAS OF APPLICATION OF ARTIFICIAL INTELLIGENCE IN GAME DEVELOPMENT AND TESTING
Olena Trofymenko, Anastasiia Dyka, Оlexander Zadereyko, Оlexander Shevchenko · Cybersecurity Education Science Technique · 2025
The integration of artificial intelligence (AI) into the software development process is becoming a real revolution in the video game industry. The article explores and systematizes possible areas of application of AI in video game development and gameplay. In general, eight areas of possible implementation of AI in GameDev are described, namely: creating a graphical interface; creating 3D objects in video games; writing dialogues and text content in video games; creating music; voicing characters; creating animation; writing and testing program code; testing video games. Various areas of possible application of AI in video game development were experimentally tested and confirmed during the development by the authors of a game in the adventure genre with horror elements. The authors detailed the applied aspects of using various modern AI tools using the example of developing the corresponding components of the 3D game environment of the game "Labyrinth of Darkness". The use of AI helps to optimize labor-intensive processes, such as content creation and testing, which helps to speed up production cycles and improve the quality of the final product. To achieve the desired gaming style, AI tools allow you to generate several variants of images of game environment elements in order to select the most suitable ones for further adaptation into the game's graphical interface. To do this, deep learning algorithms analyze thousands of texture samples, creating new variations that look natural and meet modern graphics requirements. Thus, the active integration of AI technology into the modern video game development process significantly changes the approaches to testing and improving game products. On the other hand, the paper considers the difficulties and disadvantages of using AI in game development and testing. Currently, generative AI in game development and testing requires careful monitoring, adaptation, and testing. The best solution is to combine the capabilities of AI and the creative approach of developers, which guarantees high-quality content and a unique gaming experience.