As data scientists and business leaders, we need to think about the ethical and privacy considerations of machine learning and artificial intelligence. FICO's Scott Zoldi shares recommendations around responsible AI, ethics, and privacy during this important conversation.
Join NYU-LEARN and Drs. Paul Prinsloo and Ravi Shroff in an engaging conversation on how we can productively navigate the intersection of learning analytics and equity and consider the role of educational data science as a tool for social justice.
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.