This course introduces ethics, politics, and the ethical implications of AI and data. The course will examine the legal, political, and ethical issues that arise throughout the entire lifecycle of the science of data collection, storage, processing, analysis, and use, including, privacy, surveillance, security, classification and discrimination. Case studies will be used to explore these issues in areas such as criminal justice, national security, health, marketing, politics, education, automotive, employment, athletics, and development. Special attention will be given to legal and political constraints and considerations that are specific to AI in robotics and self-driving cars.

Temps présentiel : 20 heures

Charge de travail étudiant : 30 heures

Méthode(s) d'évaluation : Examen final