Latin America. In the ever-changing landscape of the video game industry, a technological marvel is poised to revolutionize the way games are developed, experienced, and enjoyed: the advent of Generative Artificial Intelligence (AI).
This innovative technology is rapidly transforming the gaming landscape, presenting a wealth of possibilities, efficiencies, and innovative opportunities. However, it also entails responsible use, because although it can take the industry to places never dreamed of, improper use could be detrimental to the optimal experience.
In a recent publication by the multinational technology company EPAM, experts in the field of generative AI analyzed five major advantages and five possible disadvantages of the application of this technology in gaming.
Advantages of generative AI for gaming:
1. Increased efficiency in development: Generative AI significantly reduces the time and resources required by automating content creation, allowing developers to focus on key aspects of the game.
2. Improved scalability: The AI's ability to quickly create significant amounts of content boosts the scalability of the game, offering expanded depth and breadth.
3. More Engaging Gaming Experience: Generating unique content in each gaming session provides constant challenges and excitement, improving player retention and engagement.
4. Personalization for the player: Generative AI has the potential to tailor the gaming experience according to individual preferences, without being repetitive or predictable, creating a stronger connection between the player and the game, increasing retention, which would generate greater consumer loyalty.
5. Improved accessibility: By being able to create inclusive content, Generative AI can make games more accessible to people with disabilities, incorporating features such as text-to-speech and friendly interfaces for people with dyschromatopsia, for example.
Challenges to overcome that generative AI brings to video games:
1. Legal risks and intellectual property: There are still legal uncertainties surrounding the intellectual property and copyright of AI-generated works, as well as potential infringement risks related to the content created. Who owns a game created with AI? And how are the rights of the material on which the AI is "inspired" to create its derivative content respected?
2. Variability in content quality: The quality of AI-generated content can vary, requiring constant monitoring and rigorous quality control processes to ensure consistency with game design standards.
3. Potential Lack of Originality: Depending on the training set, over-reliance on Generative AI could result in a lack of innovation and originality in game content.
4. Game Asset Protection: Developers need to address the concern of how to protect their game assets against unauthorized copying or distribution of close similarities.
5. Potential Misuse: There is a potential for Generative AI to be misused for malicious purposes, such as creating fake game assets or cheating in multiplayer games.
Tools used for AI gaming
With each new innovation that AI offers for industries, there is also the review of how a benefit does not lead to potential failures that put both the product and the talents involved in the processes at risk.
AI is a reality and many developers are already implementing the tools that are available to optimize their work and reach the unattainable in record time. Resources such as Unity ML-Agents, which uses machine learning algorithms to create intelligent characters and game environments, or some as famous as the DALL image generator. Open AI's E, and Roblox, are becoming the foundation of a new era for video games.
