Artificial Intelligence, Philosophy, Ethics, Course, Education.
Montréal) What you’ll learn · Understanding bias and discrimination in all its aspects · Exploring the harmful effects of bias in machine learning (discriminatory effects of algorithmic decision-making) · Identifying the sources of bias and discrimination in machine learning · Mitigating bias in