The laboratory offers a course as part of the DHSI.

Alexia Schneider, Yann Audin, William Bouchard, and Marcello Vitali-Rosati will teach an intensive one-week course as part of the DHSI (Digital Humanities Summer Institute). The course will cover artificial intelligence algorithms, from machine learning techniques to large language models.

Course description:

AI—a buzzword that fascinates as much as it worries—is at the center of countless debates. Faced with the proliferation of often contradictory narratives, it can be difficult to form an informed opinion without falling into either panic or blind enthusiasm. How can we understand the real challenges of this new technological era? And, more importantly, what knowledge is needed to assess its actual impact, particularly on research and practices in the humanities and social sciences?

To evaluate the relevance of AI tools in the humanities and social sciences—whether for text analysis, data modeling, or archival exploration—it is essential to understand their technical foundations, theoretical assumptions, and the structural biases they may carry. This course offers a return to the fundamentals of artificial intelligence and machine learning through a practical, rigorous, and accessible approach, helping participants better understand both the capabilities and limitations of these tools.