AI-Generated Central Determination Content for Compliant Game Displays

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Solution Overview

Problem

Existing gaming systems lack the ability to efficiently generate and customize content for central determination games, such as Bingo and Historical Horse Racing, while maintaining compliance with regulatory requirements and player engagement.

Innovation Solution

A self-evolving AI-based content generative model that selects a predetermined game outcome, generates prompts based on player preferences and contextual parameters, and presents customized content on gaming devices, integrating with a central determination system to enhance player experience and compliance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional content creation methods are used for central determination games, then content can be created with established processes, but the time and cost associated with content creation are excessive

Engineering Contradiction:

Improvecontent creation efficiencyVSAvoidcontent creation time

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system employs AI models that autonomously generate game content including images, videos, and narratives without human intervention. The generative AI creates customized content based on game parameters and player preferences, eliminating the need for manual content creation processes and significantly reducing both time and cost.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system dynamically adjusts content generation parameters such as game theme, difficulty level, and player preferences to produce varied content. By changing these parameters, the system can efficiently generate diverse content types without restarting the entire creation process, thereby improving productivity and reducing time loss.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If generic content is used for central determination games, then content creation is simpler, but player engagement is reduced

Engineering Contradiction:

Improvecontent creation simplicityVSAvoidplayer-specific content customization

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system generates content with local quality by customizing specific elements such as game themes, visual styles, and narratives to match individual player preferences. Each player receives tailored content while the overall system maintains operational simplicity through automated AI generation processes.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The content generation system is dynamic and adapts to player preferences in real-time. The AI models continuously learn from player behavior and adjust content characteristics accordingly, enabling both ease of operation through automation and adaptability to individual players simultaneously.

Inventive Principle:

Principle #15Dynamics

3Reliability

If manually created content is used, then content quality can be controlled, but the cost and time for content creation increase significantly

Engineering Contradiction:

Improvecontent quality controlVSAvoidcontent creation process complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system replaces manual content creation mechanics with AI-based generative models. This substitution maintains content quality control through programmable parameters and constraints while eliminating the complexity of human creative processes, thereby reducing cost and time without sacrificing reliability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

4Productivity

If AI-generated content is implemented, then content creation time and cost are reduced, but ensuring compliance with regulatory requirements becomes more challenging

Engineering Contradiction:

Improvecontent generation efficiencyVSAvoidregulatory compliance

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system incorporates feedback mechanisms where AI-generated content is evaluated against regulatory requirements and game rules. The system learns from compliance feedback and adjusts generation parameters accordingly, maintaining both high productivity and reliable compliance through continuous optimization.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20260038327A1Artificial intelligence generated central determination content

Publication Date: 2026.02.05 INTERNATIONAL GAME TECHNOLOGY INC

AI summary

The present disclosure relates generally to a gaming system, device, and method that selects a predetermined game outcome from a pool of predetermined game outcomes, generates a prompt to a generative model, the prompt comprising input related to the predetermined game outcome, receives content generated by the generative model based on the generated prompt, selects at least a portion of the received content for presentation as part of a game display configured to provide the selected predetermined game outcome, and causes the received content to be presented by a gaming device as part of the game display.