Large Language Muddles? How Social Data Scientists can make the Generative AI Revolution work for everyone
Category
Keynote lecture
Date & Time
15 June 5pm - 6pmVenue
Lecture Theatre A, 40 George SquareDescription
In this Keynote, Arthur Spirling will be providing an expert perspective on what Large Language Models LLMs are and what they could do for social science. He will review the muddled and messy environment we currently have, and why that’s a problem (or an opportunity!). He will then go on to review emerging applications in social science, including in his own work. Finally, he will tackle a key issue in the domain of LLMS—closed source and corporate control—and provide his perspective on what we, as social (data) scientists, can do in response.
All welcome.
Booking not required.
Closing session of the Social Data Science Hub Launch Day.
Key speakers
- Arthur Spirling, Professor of Politics and Data Science, New York University