Kowe Kadoma

Kowe Kadoma serves as an instructor at Fred Hutchinson Cancer Center, specializing in ethical AI implementation and algorithmic fairness. As an instructor for "Practical Steps for Building Fair AI Algorithms," she focuses on teaching professionals how to develop and implement AI systems that promote equity and fairness across diverse populations. Her course curriculum emphasizes practical approaches to understanding and addressing bias in AI algorithms, covering crucial topics such as ethical data collection, model training principles, and healthcare algorithm design. Through her teaching, she helps students master the complexities of algorithmic fairness definitions, transparency in AI systems, and the challenging ethical dilemmas that arise in AI implementation. Her approach combines theoretical understanding with hands-on application, ensuring students gain practical skills in designing and implementing fair AI solutions while considering their broader societal impact.