Through 3 key case studies, Rachel Thomas covers how people can be harmed by machine learning gone wrong, why we as machine learning practitioners should care, and what tech ethics are.
Using deep learning to understand the level of attention and engagement of students. Ensuring privacy, having real-time feedback on the delivery of coursework will help lecturers/presenters, make improvements vs. waiting once or twice a year for this information.