Anthropology of Artificial Intelligence

This course aims to familiarize students with concepts, theories, and methodologies in anthropology and how those can be specifically tailored for the study of Artificial Intelligence (AI) and its related systems. It explores the development, application, and impacts of these systems in diverse societies and cultural contexts. Emphasis is placed on addressing critical issues such as cultural diversity, discrimination, governance, and decolonization within the context of AI systems and infrastructures.

Knowledge and understanding

At the end of the course, the student
- has an in-depth knowledge of the anthropological theories and methods concerning the study of new technologies in society
- understands the lexicon, identifies and discusses the crucial points in the Anthropology of AI
- knows the subjects of the anthropological literature on AI and related systems in diverse contexts of development and application
- has proficient knowledge of the bibliographic resources and methodological tools

Ability to apply knowledge and understanding

At the end of the course, the student
- can put forward and outline the main conceptual contributions of the Anthropology of AI;
- can apply the knowledge acquired in anthropological domain to discuss theses, rework problems, and make critical judgments in relation to the issues addressed in the Anthropology of AI
- can apply the conceptual structures of the anthropological sciences to the contemporary debate about the social and cultural impacts of AI and related systems, and their implications for justice, diversity, and equity.