# Game Behavior Data Emerges as Crucial Resource for AI Training

Game behavior data is rapidly emerging as one of the most valuable resources in the artificial intelligence (AI) sector. With over 3.4 billion gamers worldwide, the behavioral data generated within games is being harnessed to train AI, opening new possibilities in logistics, finance, and various practical fields.

AI systems trained on game behavior data are showing significant success in managing hospital queues, optimizing logistics routes, and predicting traffic conditions. This success is attributed to applying behavioral data from games, such as risk-taking, cooperation skills, and decision-making under pressure, to real-world problem-solving. The global gaming market, which generates annual revenues exceeding $177 billion, provides unparalleled behavioral data through game play logs that record real-time decision-making processes, rules, and objectives.

# “Data Value is Clear”: Need for Sustainable Growth

According to Cointelegraph, while the utilization of game data is gaining attention, concerns about surveillance and privacy violations are also rising. Technologies like eye-tracking headsets and pulse measurement devices, which can collect psychological data, are at the center of these debates. Consequently, there is a growing call for new laws and standards to regulate data collection and use.

The EU AI Act, which came into effect in February this year, restricts sensitive AI applications such as emotion recognition in the workplace and predictive policing, while also providing a framework for legitimate data collection and utilization. Zero-Knowledge Proofs (ZKPs) have emerged as a pivotal technology for verifying data provenance, ensuring consent can be validated and withdrawn.

The value of gaming data increases over time. By leveraging real-time behavioral data, insurance companies can predict risk factors, EdTech platforms can analyze user frustration, and various industries like logistics and finance can develop new solutions.

For instance, survival pattern analysis in games like Permades, economic structure analysis in MMORPGs, and the sale of in-game behavior data through smart contracts are already linking AI training with real-world applications. This data utilization is being evaluated as a golden resource optimized for AI training.

# Need for Regulation with Transparency and Trust

However, the practical application of this data hinges on user trust. According to a gaming industry report, a growing number of developers express negative attitudes towards the use of AI and game data. To address these concerns, greater transparency in data usage and clear, immediate opt-out options for users must be provided.

Game behavior data is positioning itself as “training fuel” that connects AI with various industries beyond the gaming sector. With the current legal framework and technological readiness for data utilization, game behavior data demonstrates potential to usher in a new AI paradigm. T-RO Gamerboom co-founder remarked, “This is not just a trend but a major turning point in the AI era.”