AI deployment is expected to be massive and pervasive across many domains of human life, including work, education, healthcare, and personal communication. Understanding and anticipating the societal impact of these technologies is therefore a central research priority.

Research in this axis examines how AI influences information dissemination, social behavior, learning environments, and health outcomes. This includes studying the effects of generative AI on public communication, identifying biases and limitations in real-world AI tools, and developing methods to translate laboratory advances into reliable applications.

In health and clinical contexts, AI systems are used to support diagnosis, rehabilitation, and monitoring by extracting meaningful patterns from complex behavioral, physiological, or neural data. In education, AI tools are explored both as objects of study and as instruments for learning, raising questions about pedagogy, accessibility, and equity. Across domains, this axis emphasizes responsible deployment, evidence-based evaluation, and societal relevance.

Teams