AI Safety – Full Course from Safe.AI on Machine Learning & Ethics

Dive into a comprehensive 9-hour course on AI Safety, exploring crucial aspects of machine learning and ethics. Learn how to shape the development of strong AI systems in a safer direction, covering topics such as robustness, monitoring, alignment, and systemic safety. Explore deep learning fundamentals, risk decomposition, accident models, black swans, adversarial robustness, anomaly detection, and interpretable uncertainty. Delve into transparency, trojans, detecting emergent behavior, honest models, and machine ethics. Examine ML applications in improved decision-making and cyberdefense, as well as cooperative AI concepts. Analyze potential existential hazards, the relationship between AI and evolution, and the balance between safety and capabilities. Gain valuable insights to help reduce existential risks from advanced AI systems and contribute to the field of AI safety research.