AI Safety – Full Course by Safe.AI Founder on Machine Learning & Ethics (Center for AI Safety)
Taha GÖÇER
About this course
This course provides a comprehensive overview of machine learning safety, encompassing critical topics such as robustness, monitoring, alignment, and systemic safety. Participants will explore well-established and emerging research areas, learn about the interdisciplinary foundations of safety in machine learning, and engage with conceptual concerns including existential risks and ethical implications.
What you should already know
A solid background in machine learning and deep learning is recommended before taking this course.
What you will learn
By the end of this course, learners will be equipped to contribute to research in machine learning safety and implement strategies for developing robust and ethical AI systems.