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World Congress 2024 • Aug 20, 2024 • Session details

What AI Can, Can’t, and Shouldn’t do for Games

Romero

Can generative AI design the next genre-defining hit? Uncover the legal risks and creative limits separating true game innovation from derivative, probabilistic algorithms.

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#1 about 3 min

Evolution of generative artificial intelligence in modern technology

The recent surge in generative artificial intelligence capabilities challenges traditional content creation methods.

#2 about 2 min

Adoption rates of generative tools in the gaming industry

A recent survey reveals how different game development roles and studio sizes integrate generative tools.

#3 about 2 min

Studio policies and factual dangers of large language models

Relying on generative tools for research risks injecting factual inaccuracies and hallucinations into the creative process.

#4 about 2 min

Balancing developmental costs with the ethics of content generation

High development costs drive interest in generative automation despite widespread developer concerns regarding creative ethics.

#5 about 2 min

Implementing traditional non-player character intelligence via decision logic

Classic algorithms like pathfinding and behavior trees enable sophisticated and modular enemy interactions without redundant coding.

#6 about 2 min

Specialized calculations for utility logic and procedural world generation

Utility scoring and procedural generation algorithms dynamically build realistic interactions and endless environments based on random seeds.

#7 about 3 min

Enhancing player experience through humanly mediated artificial intelligence

Designers manipulate computational logic in unexpected ways to create suspense and ensure fair gameplay outcomes.

#8 about 1 min

Licensing third-party behavioral systems for rapid software implementation

Developers often license established computational tools from specialized companies to handle complex processing tasks like custom navigation.

#9 about 3 min

Limitations of derivative models in producing truly innovative designs

Systems built exclusively on aggregated historical data lack the capacity to conceive unprecedented breakthroughs independently.

#10 about 4 min

Testing large language models on generating original product pitches

Prompting automated systems for revolutionary concepts often yields generic buzzwords or technically unfeasible design mechanics.

#11 about 3 min

Legal vulnerabilities and copyright controversies of generated media assets

The undefined legal status of generated art introduces significant intellectual property risks for production pipelines and digital storefronts.

#12 about 2 min

Preserving the human element in creative software engineering endeavors

Automation should function as a powerful supplemental tool rather than a replacement for the joy of original creation.

Matching moments

6:32 min

Evolving from procedural generation to generative artificial intelligence storytelling

Chris Heilmann +9 · LIVE

1:34 min

Mitigating the inherent challenges of generative AI tools

Mary Grygleski Mary Grygleski · LIVE

11:41 min

Generative artificial intelligence and programming fundamentals

Chris Heilmann +2 · LIVE

4:16 min

Evolving artificial intelligence through non-deterministic video games

Johanna Pirker Johanna Pirker · World Congress 2025

8:37 min

AI video generation tools and content creation challenges

Chris Heilmann +2 · LIVE

3:17 min

Balancing AI regulation with technological innovation in human resources

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

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