This course will explore the use of autonomous algorithms for drug safety monitoring. Students will learn how to develop and implement algorithms to detect potential safety issues with drugs, as well as how to interpret the results of these algorithms. The course will also cover the ethical considerations of using autonomous algorithms in drug
From Wikipedia
AI safety is an interdisciplinary field focused on preventing accidents, misuse, or other harmful consequences arising from artificial intelligence systems. It encompasses AI alignment, monitoring AI systems for risks, and enhancing their robustness. The field is particularly concerned with existential risks posed by advanced AI models.