Description
This course explores SAFE AI, a model that emphasizes security, accountability, fairness, and explainability in AI systems, focusing on how these principles create trustworthy AI suited for dynamic and high-stakes environments. This course introduces Active Inference AI as a solution to the limitations of deep learning by highlighting its adaptability, transparency, and real-time learning capabilities. Students will examine how Active Inference AI continuously updates its beliefs and actions based on new information, making it ideal for applications where transparency, ethical decision-making, and security are paramount.
By the end of the course, participants will understand how SAFE AI can transform industries by mitigating risks, reducing biases, and enhancing accountability across autonomous systems, making them safe and reliable for real-world applications​.
