Social Study of Artificial Intelligence

Learning Outcomes

a) to historically situate the evolution of key concepts, practices, and intellectual debates within the scientific domain of Artificial Intelligence, from its foundation to the contemporary era; 

b) to develop an interdisciplinary understanding and ethical thinking about the collection of digital data and its processing by algorithms, articulating mathematical, computational, sociotechnical, and ecocritical perspectives; 

c) demonstrate a systematic and analytical appropriation of the theoretical-conceptual production in critical studies of data and algorithms, particularly regarding algocratic administration practices; 

d) to ppropriately apply the theoretical-conceptual production from critical studies of data and algorithms to the original analysis of demonstrative cases highlighting key contemporary issues arising from the use of Artificial Intelligence systems.