Artificial intelligence (AI) is currently finding widespread use in healthcare. A prime example is the Polish National Health Fund (NFZ) initiative, which utilizes AI to analyze patient data stored in the Fund’s databases. This data is then analyzed with the support of machine learning tools to make strategic decisions regarding the health of Poles. This approach will certainly simplify the work of doctors by searching for and analyzing the desired information, undoubtedly reducing their workload. However, such a solution may raise several issues and legal requirements related to regulations regarding the protection and processing of personal data.
Artificial intelligence is an interdisciplinary field of knowledge combining elements of computer science, mathematics, statistics, neuroscience, and cognitive science. Its goal is to create systems capable of performing tasks that previously required human intelligence. This includes the ability to learn from data, reason, make decisions, recognize patterns, and process and generate natural language. Unlike traditional programming, in which a computer executes strictly defined instructions, artificial intelligence aims to grant machines a degree of autonomy, allowing them to independently adapt their strategies to changing conditions. Today, AI is no longer an abstract theoretical concept, but a practical tool.
Data law is no longer just about GDPR. The European Union’s legislative trend of incorporating data law regulations into comprehensive sectoral regulations: healthcare, financial markets, corporate stock market law, the defense industry, electronic communications, and the phenomenon of fair competition in trade, is resulting in a significant fragmentation of legal sources, the core subject of which is “DATA AND DATA PROTECTION
The interpenetration and interaction of the sources of law in the shape of an atom
