The course will be the occasion, for future data scientists, and for students in general, to question the benefits and risks of science. Data science is becoming a key technology in many sciences from hard sciences to humanities, as well as in industry from transportation to journalism. However, this technology may also have negative consequences when important decisions are taken based on biases in the data, or poorly-realized computations. As citizens, we want to get the advantages of data science, e.g., in medicine or law, but, for that, we don’t want to abandon the values of our society, the freedom of citizens and the right to have a private life, the fairness of administrative processes, etc. The course will be the occasion, for future data scientists, and for students in general, to question the benefits and risks of science. It will permit them to approach from a pragmatic viewpoint questions they may have to face some day, and issues such as the various facets of privacy, the fairness of automatic decisions, the transparency of algorithmic processes, their explainability. Some references (more may be found there) : * Cathy O’Neil, Weapons of Math Destruction.

* https://dataresponsibly.github.io/
* The MOOC of Jagadish : https://www.edx.org/course/data-science-ethics