Davis Auditorium (Room 412, 4th Floor), Schapiro CEPSR, 530 W. 120 St., New York, NY 10027
Dan Jurafsky, Stanford University, Linguistics and Computer Science
Police body-worn cameras have the potential to play an important role in understanding and improving police-community relations. This talk describes a series of studies conducted by our large interdisciplinary team at Stanford that use speech and natural language processing on body-camera recordings to model the interactions between police officers and community members in traffic stops. We use text and speech features to automatically measure linguistic aspects of the interaction, from discourse factors like conversational structure to social factors like respect. This talk will also describe the differences we find in the language directed toward black versus white community
members, and offer suggestions for how these findings can be used to help improve the fraught relations between police officers and the communities they serve.
This event is free and open to the public; please visit the website for more details.