Artificial intelligence (CNRS Humanities & Social Sciences thematic priority)

CNRS Humanities & Social Sciences has a dual and parallel approach to AI. Firstly, CNRS Humanities & Social Sciences supports actions, projects and research teams that use AI or aim to study the repercussions and consequences of the use of AI tools for research purposes. To achieve this, CNRS Humanities & Social Sciences has undertaken major epistemological and methodological study on the following questions. How is AI changing the way researchers work on science, understand and visualise results? What are the consequences of the use of massive data that AI makes possible? Does AI in the form of an empirical approach exist in opposition to theoretical modelling? What role is data science playing in training, laboratories, conferences and journals? How is AI leading to research being reorganised? What is the current situation as regards the appropriation and mastery of the available IT tools and their sovereignty and also regarding the interpretability, refutability and reproducibility of research results themselves? Which types of AI are the best suited to which research aspects? What new biases specific to AI may emerge? AI is transforming a variety of issues ranging from facial recognition to connected objects. Commerce and consumption, health, democratic and personal life and forms of work are all being transformed by AI. The subject extends to robotics, human-computer interaction, support for decision-makers, massive data, social web platforms and the rise of micro-work. These changes come with considerable accompanying problems in terms of AI's economic, geographical and environmental impact, the protection of private data, legal liability, the control of possible ethnic and gender bias, explicability and traceability.

Research centers and networks