Socio Technical

Socio-technical research examines the complex interplay between technological systems and their societal contexts, focusing on the ethical, social, and practical implications of technology deployment. Current research emphasizes evaluating AI models based on real-world needs and developing collaborative frameworks for AI development, particularly in federated learning, addressing challenges in fairness, privacy, and accountability. This interdisciplinary field is crucial for responsible innovation, informing the design and implementation of ethical and effective AI systems across various sectors, from voting systems to public administration.