Bayesian Optimization for Fine-Tuning AI-Driven Game Mechanics #820988137191 (2025-02-03)

Bayesian Optimization for Fine-Tuning AI-Driven Game Mechanics

Thanks to Dorothy King for contributing the article "Bayesian Optimization for Fine-Tuning AI-Driven Game Mechanics".

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This paper investigates the legal and ethical considerations surrounding data collection and user tracking in mobile games. The research examines how mobile game developers collect, store, and utilize player data, including behavioral data, location information, and in-app purchases, to enhance gameplay and monetization strategies. Drawing on data privacy laws such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), the study explores the compliance challenges that mobile game developers face and the ethical implications of player data usage. The paper provides a critical analysis of how developers can balance the need for data with respect for user privacy, offering guidelines for transparent data practices and ethical data management in mobile game development.

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