AI-Generated Game Content Tracking for Player Outcome Replay
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Solution Overview
Problem
Existing electronic games using generative AI lack the ability to track and associate AI-generated content with game play sessions, making it difficult for regulators and operators to ensure compliance and review game outcomes accurately.
Innovation Solution
A system that generates prompts for AI content, records and associates them with game sessions, and allows for session replay, using unique identifiers and game information to track and manage AI-generated content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If AI-generated content is used in electronic games without tracking, then content generation flexibility is improved, but regulatory compliance and outcome verification deteriorate
Solution Approach 1:
The system performs preliminary recording of AI prompts, generated content, and game session information before the game session concludes. This advance documentation ensures regulatory compliance is established proactively, allowing full tracking of AI-generated content while maintaining generation flexibility during gameplay.
Solution Approach 2:
The system creates detailed copies of AI-generated content and associated metadata (prompts, session identifiers, timestamps) and stores them in a database. These copies enable regulatory review and outcome verification without affecting the original AI content generation process, thus maintaining both flexibility and compliance.
2Reliability
If AI-generated content is tracked and recorded for every game session, then regulatory compliance is improved, but system complexity increases
Solution Approach 1:
The system employs a multi-functional database that stores diverse information types (prompts, generated content, session identifiers, timestamps, game outcomes) in a unified structure. This universal storage approach consolidates multiple tracking functions into a single system, reducing overall complexity while maintaining comprehensive regulatory compliance capability.
Solution Approach 2:
The system introduces a central database as an intermediary layer between the AI content generation process and regulatory requirements. This mediator handles all tracking and recording operations, simplifying the interface between content generation and compliance verification while managing the complexity of data collection and storage.
3Measurement precision
If detailed game session information is recorded, then outcome verification accuracy is improved, but data storage requirements increase
Solution Approach 1:
The system extracts and records only the essential elements required for outcome verification: the AI prompt, generated content identifier, session identifier, timestamp, and game outcome. By selectively extracting only these critical data points rather than storing all possible game information, the system maintains high verification accuracy while minimizing data storage requirements.
Data Source
AI summary
Embodiments of the present disclosure are directed to generating content for use in an electronic game using generative Artificial Intelligence (AI) and recording information about the content and use of the content in the game. The game can include content played on an Electronic Gaming Machine (EGM), video lottery terminal (VLT), kiosk, web browser, mobile phone or virtual reality device. The novel part of the invention is having the system store and associate which AI content and which AI prompts were used for each game play. This may be to provide a regulatory game recall feature so that the operator or regulator can review what each player saw. This allows for the games to be recreated with the correct content and to allow the operator or regulator to review which AI prompt was used for a game outcome.