[2603.01211] A Unified Framework to Quantify Cultural Intelligence of AI

Computer Science > Artificial Intelligence arXiv:2603.01211 (cs) [Submitted on 1 Mar 2026] Title:A Unified Framework to Quantify Cultural Intelligence of AI Authors:Sunipa Dev, Vinodkumar Prabhakaran, Rutledge Chin Feman, Aida Davani, Remi Denton, Charu Kalia, Piyawat L Kumjorn, Madhurima Maji, Rida Qadri, Negar Rostamzadeh, Renee Shelby, Romina Stella, Hayk Stepanyan, Erin van Liemt, Aishwarya Verma, Oscar Wahltinez, Edem Wornyo, Andrew Zaldivar, Saška Mojsilović View a PDF of the paper titled A Unified Framework to Quantify Cultural Intelligence of AI, by Sunipa Dev and 18 other authors View PDF HTML (experimental) Abstract:As generative AI technologies are increasingly being launched across the globe, assessing their competence to operate in different cultural contexts is exigently becoming a priority. While recent years have seen numerous and much-needed efforts on cultural benchmarking, these efforts have largely focused on specific aspects of culture and evaluation. While these efforts contribute to our understanding of cultural competence, a unified and systematic evaluation approach is needed for us as a field to comprehensively assess diverse cultural dimensions at scale. Drawing on measurement theory, we present a principled framework to aggregate multifaceted indicators of cultural capabilities into a unified assessment of cultural intelligence. We start by developing a working definition of culture that includes identifying core domains of culture. We then intr...