As artificial intelligence (AI) continues to advance, the way we train AI models is evolving to address growing concerns about data privacy, security, and efficiency. Traditional AI training methods often require vast amounts of centralized data, which can be challenging to gather and manage, especially when dealing with sensitive information. Enter federated learning, a decentralized…
IntroductionIn the realm of artificial intelligence (AI), data is the foundation upon which all systems are built. Ensuring the quality of this data is crucial for the accuracy, reliability, and fairness of AI applications. The European Union's Artificial Intelligence Act (EU AI Act) addresses this necessity by setting stringent requirements for data quality. This blog…
In recent years, with the rapid advancements in artificial intelligence (AI) technology, there has been an increasing need to establish effective governance frameworks to ensure responsible and ethical use of AI systems. The European AI Board has emerged as a significant player in shaping the future of AI governance. In this article, we will explore…