Socio Technical System

Sociotechnical systems research examines the complex interplay between technological systems and their social contexts, aiming to understand and improve the design, implementation, and impact of technology on society. Current research focuses on the sociotechnical implications of large language models (LLMs) and generative AI, employing various methods including deep learning models and systems safety engineering principles to assess risks and biases. This field is crucial for responsible technology development, informing ethical guidelines, mitigating societal harms, and ensuring equitable access to and benefits from technological advancements across diverse communities.