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Data governance, privacy, and translation benchmarks
This project investigates how people and institutions negotiate data governance, privacy, and translation challenges in settings where trust, transparency, and fidelity matter. It emphasizes social dimensions of data use, stakeholder preferences around consent, ownership, and privacy, and
technical dimensions of translation and benchmarking, particularly in multilingual educational contexts.
Research domains include: (1) aggregated stakeholder attitudes in creative industries navigating generative AI and data ownership; (2) contextual variation in privacy preferences across organizational roles and digital behaviors; and (3) reproducible benchmarks for evaluating multilingual translation of educational materials.
Research domains include: (1) aggregated stakeholder attitudes in creative industries navigating generative AI and data ownership; (2) contextual variation in privacy preferences across organizational roles and digital behaviors; and (3) reproducible benchmarks for evaluating multilingual translation of educational materials.
Team Members
