The prospect of intelligent machines challenges our societal norms. Matters of debate over the past half century concerning digital networks – e.g. access, privacy, subjectivity, participation – must be reconsidered in the age of machine learning. More specifically, the proliferation of AI-based systems leads to new ways of understanding what normativity is. Social norms don’t change overnight; however, the mechanisms and processes that drive these changes are increasingly influenced by AI-based infrastructures, characterized by a heightened level of automation, while being opaque, inscrutable, and anthropomorphic.
Faced with such conditions, we have to ask, first, what it means to instill or break a norm and, second, what norms even mean or represent. This landscape presents both profound challenges to maintain just and stable means of interaction and, at the same time, novel and creative opportunities for alternative modes of being.
The question of AI normativity is not only about regulation, not only about AI amplification of existing norms or discrimination, not only about fairness, but about how the AI transforms our very relation to the norms, or even about what a “norm” could mean in the AI conditions of perpetual adjustment of all forms of social interactions.
The two conferences (December 4-5, 2025 at Stanford, May 11-12 2026 in Paris) will address the imbrication of two movements: how the evolution of social norms is reflected in new algorithmic practices, and how these algorithms influence social norms in various domains. It will also investigate the intricate relation between the rise of AI and the (post-)neo-liberalism.
It will bring together the humanities, social sciences, and STS to address issues of crucial contemporary importance.
Schedules and details here: https://www.dicen-idf.org/stanford-dicen-conference-norms-in-the-age-of-ai/
Partners
DICEN-IDf – Dispositifs d’Information et de Communication à l’Ere Numérique – Paris, Ile-de-France
DICEN-IDf
Stanford University - AAH
Stanford
Graduate Program Digital Studies and Innovation for Smart Cities, ANR
DIGIS
GDR Internet, IA et Société, CNRS
GDR-CIS
Université Gustave Eiffel
Conservatoire national des arts et métiers
CNAM
France-Stanford Center For Interdisciplinary Studies
France-Stanford
Revue Etudes Digitales
Etudes Digitales