Écoles, masters et doctorats / Schools, Masters and Doctorates / Enseignements / Teachings
ship approaches and, on the other hand, technical literature in informatics, statistics and economics about SMART Law. Speciﬁc objectives : - Raise awareness of the role of SMART law devices ; - Get students acquainted with the operation of SMART law devices in speciﬁc legal ﬁelds ; - Equip students with the tools to use and contest SMART law devices from a theoretical and practical perspective ; - Engage students in the process of thinking and designing SMART law devices in their future legal practice. Course Description : The idea of a law that is Scientiﬁc, Mathematical, Algorithmic, Risk and Technology (SMART) driven is becoming a reality that needs the attention of students interested in law and public and private governance. Indicators, algorithms and big data are reshaping the regulatory landscape, allegedly, for the sake of better regulation. Uses range from measuring risk and performance, proﬁling offenders, monitoring suspicious behaviours, auditing organizations and algorithms, fostering e-government, and enforcing automatically rules, compliance programs, policies and contracts. This course aims at providing students with a comprehensive overview of the rise of SMART law devices in the context of global governance with a particular focus on their processes of production, strategic uses, effects and contestations. The introductory part of the course will give a historical and theoretical introduction to the idea of SMART law, its connection with statistics, management and informatics, its main practical advantages and ﬂaws, and its link with jurisprudence and global law. The course will then introduce legal metrics, algorithms, block chain technology and big data in different legal ﬁelds and invite students to engage with them through individual case studies. The SMART law devices covered will relate to the ﬁelds of corporate social responsibility, ﬁnancial and banking law, business law, investment law, tax law, human rights and labor law. Finally, the course will explore current and possible contestations to SMART law devices at both the theoretical and the practical level. It will rely on a doctrinal study of law and contributions from critical literature in sociology, philoso-
phy, statistics, management, informatics and legal theory scholarship. At the end of the course, students are expected (1) to understand how SMART law devices operate in legal practice, (2) to design reliable methodologies for building new SMART law devices, and (3) to criticize SMART law devices as instruments of regulation and a source of evidence in law. Required reading : to be deﬁned.
SOCIAL AND ECONOMIC CHALLENGES OF ARTIFICIAL INTELLIGENCE
Semester : Spring Number of hours : 24 Language of tuition : English
Opened to the exchange program
Teachers : Nicolas MIAILHE (Président, THE FUTURE SOCIETY INC). Prerequisite : This course is open to graduate students from any Sciences Po graduate school or department, and to qualiﬁed undergraduates with the permission of the instructor ; diversity of backgrounds and interests enriches the course. Training in economics or engineering is not a requirement. Auditors will be admitted as space allows. Pedagogical Format : Seminar Course validation : Students are required encouraged to participate in class discussions, and to hone their analytical, research, and writing skills through the written assignment. Grades will be calculated as follows : Class Participation : Every student is expected to be prepared for and attend every class, and to participate in the discussions (30%). Policy Paper : Students get in group of three to write one short (1000–1600 word) policy memo, recommending an AI transformation strategy for a country, region or city of choice. This is due at any time during the seminar (50%). Students will have to write individually 1 essay (500–800 words) during the semester (20%). The class will be split into 3 segments of 10 students who will h