Games that adapt, grow and evolve themselves are the result of generative AI (gen AI). Unlike traditional computer games that have to be written manually by human designers, gen AI can create new levels, challenges, enemies and storylines that constantly update based on player behavior, preferences and goals.Learn more :

The generative AI in these games is created with a combination of neural networks, genetic algorithms and other techniques. These generative algorithms can automatically generate an unlimited number of variations of the same concept or object, and these generated variations can then be tweaked by human designers to find the best solution. The result is a game world that continually changes and evolves based on the players’ actions, increasing replayability and the lifespan of a single title.

AI in Wildlife Simulation and Behavior in Games

Another way that generative AI is being used in video games is to add intelligence and character emotion to nonplayer characters. These AI systems can analyze the players’ emotions and personality to determine the best way to interact with them, which can add depth and realism to the experience. For example, if the player’s emotional state is angry, the AI may try to placate them by agreeing with them or offering them a gift.

Despite the numerous benefits of AI for gaming, there are some concerns. For example, generative AI is being used to generate art for video games at scale, which many artists feel violates their copyright. Additionally, some developers use generative AI tools that have been trained using unsanctioned data, which can lead to issues like unfair competition and fraud.