Anthropology of Artificial Intelligence

Students will acquire a solid knowledge of the main concepts, theoretical frameworks, and methodological tools in anthropology and how those can be specifically tailored for the study of Artificial Intelligence (AI) and its related systems.

Students will acquire the ability to:

- Critically evaluate the sources of information and the reliability of data, being able to present and outline the main conceptual contributions of anthropological theories and methods concerning the study of new technologies in society.
- Apply reasoning skills in various scientific contexts, highlighting the knowledge acquired in the anthropology of AI to argue theses, rework problems, and formulate critical judgments in relation to the to the topics addressed.
- Engage in dialogue with experts from other disciplines and apply the cross-disciplinary dimension of anthropology and philosophy in order to identify and manage complex issues flexibly and critically in rapidly evolving social contexts.
- Use relational, communicative, and organizational skills in highly complex contexts and in managing group work within anthropological research on AI.
- Transmit the acquired competences also in non-specialist contexts, promoting the understanding of social and cultural impacts of AI and related systems, and their implications for justice, diversity, and equity.
- Reflect on one's own abilities and on the evaluations received, identifying and discussing theoretical issues present in the anthropological theories studied.
- Independently explore an ethnographic case study or a theoretical thesis in the field of anthropology using appropriate bibliographic resources and methodological tools, demonstrating understanding of vocabulary and topics related to social organizations and systems of thought across different cultures.