Description: Learning Outcomes in the category of AI Ethics refer to the skills and knowledge acquired through training programs in artificial intelligence, which must be evaluated from an ethical perspective. This means that participants should not only understand the technical aspects of AI but also the moral and social implications of its use. AI ethics encompasses topics such as fairness, transparency, privacy, and accountability, and seeks to ensure that AI technologies are developed and used in ways that benefit society as a whole. Learning outcomes in this area are crucial for training professionals who can make informed and ethical decisions in the design, implementation, and management of AI systems. This includes the ability to identify biases in algorithms, understand regulations and norms related to AI, and promote practices that respect human rights and the dignity of individuals. In a world where AI is increasingly present in various industries, ethical training becomes an essential component to ensure that these technologies are used responsibly and equitably.
