AI in Football: In recent years, artificial intelligence (AI) has taken on an increasingly important role in the world of football. This technology has not only transformed performance analysis, tactics, and training, but has also brought fundamental innovations in data security and protection. In a scenario where sensitive and private information and data circulate more frequently, AI emerges as an essential tool for both the digital and physical security of clubs and stadiums.

Artificial Intelligence Beyond the Four Lines

On the field, AI has already proven revolutionary. Coaches and analysts can now gain detailed insights into player performance. Advanced algorithms analyze game patterns, tactical movements, and even the physical fatigue of athletes, helping to prevent injuries and develop more efficient strategies. Furthermore, AI has facilitated real-time decision-making, allowing for more precise adjustments during matches.

Off the field, Artificial Intelligence plays an equally crucial role. Clubs are increasingly using technological solutions to protect strategic and financial information. AI systems are capable of identifying anomalous patterns that may indicate cyberattacks, ensuring the integrity of databases – an extremely valuable asset in sports. This technology also ensures that athletes' personal and health data is handled securely, in accordance with the General Data Protection Law (LGPD).

On the other hand, in Brazil, the General Sports Law (Law No. 14.597/2023) introduced the mandatory use of facial recognition in stadiums with more than 20 seats. This measure facilitates access control and combats ticket scalping, in addition to ensuring that only authorized individuals can enter the stadiums. Linking tickets to fans' biometric data combats fraud and facilitates the identification of people with legal restrictions.

Wearing the privacy shirt

However, the use of this technology also raises critical privacy and data protection issues. Although the LGPD (Brazilian General Data Protection Law) allows the processing of biometric data to fulfill legal obligations, this processing must be carried out responsibly, with data collection and storage limited to what is strictly necessary to ensure security. The balance between security and respect for privacy is one of the greatest challenges of this new era of "smart" stadiums.

While the advantages of AI and technology in football are evident, the privacy risks cannot be ignored. The use of biometric data, such as facial recognition, requires careful management to prevent abuse and violations. It is crucial that clubs and event organizers ensure that this data is used transparently, clearly informing fans about how their information is handled.

It's worth mentioning that errors in facial recognition systems can have serious consequences, such as the incorrect identification of individuals, leading to embarrassment or even lawsuits. System developers and legal experts must address this issue rigorously, ensuring the accuracy of the technologies used.

The future of AI in football promises even more profound innovations, both in on-field performance and in club management and security. In the coming years, AI will reach new levels of sophistication, transforming how clubs monitor and train their players. Beyond analyzing tactical and physical movements, AI will be able to integrate psychological and emotional information about athletes, helping coaches adjust strategies and maintain team mental cohesion during critical moments. AI's role in athlete health will also grow, anticipating injuries with greater accuracy and reducing recovery time.

Outside of the fields, data protection is an area of ​​special attention. With the increasing use of technologies such as facial recognition and biometric data collection, a significant volume of sensitive information needs to be managed. The LGPD (Brazilian General Data Protection Law) already establishes restrictions on how this data should be collected and processed. However, with the advancement of even more sophisticated technologies, such as motion sensors and cameras that monitor facial expressions, a more robust adoption of cybersecurity measures will be necessary to protect this data.

Facial recognition, already in use in some Brazilian stadiums, exemplifies the benefits and challenges of this new technological era. While it improves security and access control, combating fraud and ticket scalping, the inaccuracy of the systems can harm innocent fans and cause embarrassment. Furthermore, the collection and storage of biometric data pose risks in case of leaks, as biometric information cannot be altered like a password. Therefore, it is crucial that clubs adopt rigorous security policies and use the data in a restricted manner.

Another key point for the future of AI in football is ensuring that these technologies do not perpetuate discrimination. Facial recognition systems have shown difficulties in accurately identifying people of different ethnicities and genders, which can lead to inequalities in access to events. The accuracy and fairness of these systems are fundamental to avoiding injustices and ensuring that the sport is accessible to all.

For these innovations to be widely accepted, regulation needs to evolve along with the technology. The LGPD (Brazilian General Data Protection Law) and other regulations must be continuously adapted to ensure that the use of AI in football advances ethically and responsibly. Collaboration between sports federations, governments, and regulatory bodies will be essential to shaping a future where AI transforms football positively, without compromising fundamental rights.

This is the first part of the text about AI in the Field. Read the second part by guest author Calza Neto. here.