TRUSTWORTHY AND RESPONSIBLE AI

Catalog description

Principles and practices of trustworthy and responsible artificial intelligence, emphasizing the development and implementation of reliable, safe, ethical, fair, and secure AI systems. Topics include bias, privacy, security, accountability, and emerging approaches such as federated learning, with emphasis on the design and evaluation of AI systems that align with ethical standards and protect user interests.