April 16, 2025 - 11:00 AM-12:00 PM
Location: This is an online event. Register to receive the Zoom link and calendar invitation.
Intended Audience: Academic Support Staff, Faculty, Graduate Student Instructors, Instructors
ChatGPT does amazingly well at communicating with people in English. But whose English? Over 1 billion people around the world speak varieties such as Indian English, Nigerian English, Irish English, and African-American English. Speakers of these non-“standard” varieties often face discrimination in the real world. They’ve been told that the way they speak is unprofessional or incorrect, discredited as witnesses, and denied housing despite extensive research indicating that all language varieties are equally complex and legitimate. Discriminating against the way someone speaks is often a proxy for discriminating against their race, ethnicity, or nationality. What if ChatGPT exacerbates this discrimination?
To answer this question, our research examines how ChatGPT’s behavior changes in response to text in different varieties of English. We found that ChatGPT responses exhibit consistent and pervasive biases against non-“standard” varieties, including increased stereotyping and demeaning content, poorer comprehension, and condescending responses.
Join this session to learn about our research on linguistic bias in generative AI, what it means for the adoption of use of genAI tools (including related to inequality and power dynamics), and considerations for being aware and responsible users of these technologies.
Presenter:
- Genevieve Macfarlane Smith
Director, Responsible & Equitable AI Initiative | Berkeley AI Research Lab
Professional Faculty | Haas School of Business, UC Berkeley
This session will run for 45 minutes, with an additional 15 minutes reserved for questions.
➡️Register for this event here!⬅️
Registrants will be sent a Zoom link and bCal invite as the workshop date draws near.
***Registration for this session will close one hour before the session***
This event is part of the "Navigating Gen AI: Implications for Teaching and Learning" learning path. Be sure to check out this learning path and explore its other components!
Moderator:
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Kara Ganter is Director of Digital Education at the Graduate Division at UC Berkeley, where she spearheads strategic partnerships and innovations in the delivery of higher education, graduate education and programming within Grad Div, across programs, and across campus units. She also partners with the Division of Undergraduate Education, Research + Teaching + Learning Services (RTL) to innovate Berkeley’s collective practice and pursuit of teaching and research excellence. |