As one of the biggest game changers in the tech world for decades, generative AI is a hot topic for many people working within the AI sector. Most importantly, establishing how it changes the gaming world is of great interest to game designers worldwide. This unique innovation could potentially transform our society and many other sectors altogether.
Therefore, game companies want to ensure that any AI implementation makes game design and development more efficient; they’re not just doing it because it’s the latest new gadget in the sector. However, evidence already shows that gaming development is more efficient thanks to generative AI. Although it’s quite some distance from making seismic changes in the gaming world, many analysts predict that AI will be the main driving force behind significant changes in the industry within a decade.
The casino industry is one gaming sector that has implemented AI seamlessly into its everyday operations. As one of the pioneers in the gaming world, casino companies have long tried to think of fresh ways to stay ahead of their competition, and they’ve chiselled out a considerable portion of this industry to turn their once limited scope in the gaming world into one of the most influential.
When we say that generative AI will make casino gaming more efficient, we don’t necessarily mean it will be able to predict the outcomes of games. If AI can help to predict Keno numbers one day, this would be an amazing development.
Although the technology is incredibly advanced, games such as Keno and roulette are based on mathematical probability, and all the number selections have the same likelihood of being drawn. Generative AI might be able to break down the data and create prompts to discuss the outcome of a game with a specific person, but it won’t be able to steer the odds in your favour, as Keno, roulette, slot machines and blackjack are all games of chance.
What tasks does generative AI perform?
While it might sound like a specific, technical area of AI, generative AI simply means artificial intelligence that can adapt to a situation and respond to prompts, with the ability to improvise and mould its responses accordingly. Clearly, in the gaming world, having technology that performs this task effectively would be golden, and it would blow open the industry’s doors to a whole host of brand-new possibilities.
As we pointed out earlier, generative AI is still a considerable distance away from being able to respond instantly to different prompts and alter the course of a game. Still, as giant companies continue shovelling more money and resources into AI development, this could ramp up quickly.
More free time for writers
Storyline writers for games will have more free time to work on the story and development of the characters within the reality of the game. Once generative AI develops to a point where it will be able to effectively digest the personality and tone of voice of a character, and use these criteria to come up with dialogue, storyline writers who work in the industry will no longer have to focus on the intricacies of certain pieces of dialogue or the mundanity of basic conversation.
They will have more time to focus on the more exciting parts of the jobs and character arcs, thus streamlining the process.
The downsides of generative AI implementation
It’s crucial that we also don’t lose sight of what is essential in our quest to implement the best versions of AI, since the dangers of AI are stark. If this technology starts to spiral out of hand and regulation isn’t robust, we could be left in a somewhat scary situation.
It’s unlikely to get to that stage, and the generative AI used in gaming is also unlikely to be of any genuine concern. ChatGPT is just one specific area of generative AI, and while it can be used for a wide variety of practical tasks, generative AI will make gaming more efficient for a few key reasons.
One of the main concerns about AI is that it will take away critical sparks of human ingenuity that a robot will simply be unable to recreate. Even if generative AI continues to advance at a lightning pace and becomes a key feature in game design, there are still elements of human creativity that will be difficult for even the most sophisticated AI to replicate. So, while it is making certain aspects more efficient, gaming development still relies heavily on human ingenuity – at least for now.