Description: The harmonization of AI systems refers to the process of ensuring that different artificial intelligence systems work together effectively and transparently. This concept is fundamental in a world where multiple AI technologies coexist and integrate into various applications. Harmonization involves creating standards and protocols that allow interoperability between systems, ensuring that data flows smoothly and that decisions made by different algorithms are understandable and coherent. Transparency is a key aspect, as users and stakeholders must be able to understand how and why certain decisions are made. This not only increases trust in AI technologies but also facilitates the identification of biases and errors. The harmonization of AI systems is essential in diverse sectors, including healthcare, finance, and security, where automated decisions can significantly impact people’s lives. In summary, the harmonization of AI systems seeks to create an ecosystem where different technologies can collaborate effectively, promoting trust and understanding in the use of artificial intelligence.
