Panel: Can Generative AI be infused in Gaming?
summary
Panelists argue generative AI is already in games — used for textures and environment population, procedural asset generation and even whole prototypes — and is now aiming at AAA cost reduction. Examples include using ChatGPT/DALL·E for interactive text rooms, MidJourney for art, and bespoke systems for bots that pass a game Turing test by intentionally injecting humanlike mistakes. Major limits are controllability, unpredictable failure modes, and inconsistent fine-grained results for highly specific creative visions.
AI-written summary · about
chapters (9)
- 0:00Panel introduction
- 2:59Generative AI in gaming history
- 8:25AI for immersion in games
- 12:25Tools and challenges for designers
- 19:11AI in unseen mechanics
- 23:34Balancing personalization
- 37:12Player-centric vs tech focus
- 41:07Immersiveness limits
- 45:10Closing remarks
related talks
51mWhat AI Can, Can’t, and Shouldn’t Do for Games
32mHow generative AI is Changing the way people interact with computers
03mThe Future of Generative AI: How GenAI Would Change Human-Computer Co-Creation in the Next 10 to...
52mThe Journey of AI in Games: A Technical and Philosophical overview
21mRevolutionizing software creation: Harnessing the power of GenAI
27mChallenges of Generative AI
41mThe Current State Of AI In Games
28mEthical AI?!