Hideo Kojima has given what appears to be his final word on Generative AI (GenAI) technology and whether it's something he's really interested in exploring as part of the artistic process and its capability for creating art. Speaking to The Washington Post (spotted by Kotaku), even after a GenAI version of Kojima appeared in a Prada commercial just last month, the Death Stranding and Metal Gear Solid creator has said he's "not interested" in GenAI art.
"Art is life. But in 50 years, 100 years, I don't know. Maybe AI could create art, but while I live, I don't think I'll see it. I'm not interested in it," Kojima said. "We'll find a good way, a good path to how we use technology, and it's really up to young people on how we use it."
Previously, Kojima talked about how he was more interested in using GenAI technology in "control systems," rather than for any artistic and visual purposes. "Rather than having AI create visuals or anything like that, I'm more interested in using AI in the control systems." Kojima also added that the technology could be helpful in making NPCs and in-game enemies feel more engaging, and have them change their behaviour "based on the player's experience, actions, and patterns. That kind of dynamic response would make much deeper gameplay possible."
Of course, that kind of AI technology isn't anything new, with the popular reference point being the Xenomorph in Alien: Isolation, and how it was able to track where players would hide, forcing you to constantly change your strategy when trying to hide from the creature.
Regardless, with Kojima's stance seemingly solidified in that we shouldn't expect any future Kojima Productions projects to use GenAI for visual or artistic elements, it'll be interesting to see if his next games come with a GenAI disclosure on Steam, as we've been seeing with several recent titles, like Tomb Raider: Legacy of Atlantis. The disclosures are always vague by design, but perhaps Kojima Production's approach of using it for systems will become the more common one as developers across the industry continue to find where GenAI fits in their pipeline, if it fits at all.
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