Making language technology work for people.

Human-centered natural language processing explores how to make natural language processing (NLP) systems more human-centered, focusing on technology that truly serves people's needs and respects human values. The field investigates how to create NLP systems that are not only powerful but also transparent, fair, and easy to understand. Researchers examine critical questions about making language technology more intuitive and accountable while ensuring it promotes beneficial outcomes for society.

 

Cornell Natural Language Processing Group

Faculty exploring human-centered natural language processing.

Color portrait of Malte Ziewitz
Malte Ziewitz
Associate Professor of Science and Technology Studies, Director, Digital Due Process Clinic
Malte Ziewitz
Office:
313 Morrill Hall