Artifical Intelligence in Public Policy Making at Sciences Po

Artificial Intelligence is being progressively introduced in the public sector as a hype method globally used to deliver public services. The aim of this course is to analyse how policy making and Artificial Intelligence may be intertwined in a dynamic that has major impacts on the definition of public service itself.

This course will put some perspective on the integration of Artificial Intelligence related tools. How are they likely to affect policy making processes? Will they change the relation between the administration and citizens? Do they enable the delivery of new public services?

Students will be able to emphasize the adoption of AI in a historical context of progressive adoption of technologies, from traditional bureaucracies to essentially digital governance and e-bureaucratic forms. We will focus on the study of major AI technologies and their potential uses, and the value of data as a resource and product of administrations as well as data ethics. Students will analyse use cases of AI adoption in major policies such as health, education, bureaucracies, security, or climate change mitigation. The adoption of AI will be analysed with regards to the implementation contexts, from international to citizen related approaches.  

Cognitive Psychology

This class was an introduction to the cognitive psychology. Topics included memory with the objective to distinguish long-term memory, short-term memory and working memory; attentional mechanisms and emotion. Each class consisted in a lecture course followed by an behavioural experiment on which students learned to write the different part of a scientific paper (Introduction, Methodology, Results, Discussion)


This class was an introduction to statistical analysis with a review of mean, standard deviation, median, etc. and their graphical representation. Students learned to calculate correlation and were introduced to regression. The second part of the class was focused on probability starting with the aleatory and probability system notion.

Communication and Informatic tools

The objective was to propose to all students to integrate all informatics skill needed to their university career, included: Windows, Mac OS, Linux knowledge; Methods of presentation of a text file and formatting; Excel using with graphic, dynamic table, macro; animated computer-assisted presentation; information research on internet; database.

Faculty Methodology

The program was focused on the integration of students in university mechanism in a first part. The second part asked students to learned APA norms and create an oral presentation on a scientific article, their work was presented during a class at the end of the semester.

Learning content development

Statistics, theory and informatic practice (90h)

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