Thu, Jan 12, 2023 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Arjun Subramonian, UCLA
Talk Title: Bias and Power in NLP
If you are an outside visitor, please inform us at nlg DASH seminar DASH host AT isi DOT edu beforehand so we are aware of your attendance and let you in.
Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you are highly encouraged to use your USC account to sign into Zoom.
In person attendance will be held in CR 689 at ISI in Marina Del Rey, remote attendees can log on via Zoom.
NLP models are increasingly deployed as part of technological pipelines. However, these models reinforce the biased and unjust treatment of marginalized people. In this talk, I discuss the multiplicity and sociotechnical nature of bias, and sources of bias and harms in the NLP lifecycle, situating these concepts in the context of gender exclusivity. I further examine bias metrics, interventions, and their pitfalls. Finally, I connect bias and harms to the power structures in which NLP is embedded. Ultimately, I urge for more intersectional and reflexive approaches to NLP.
Biography: Arjun Subramonian is a Computer Science PhD student at the University of California, Los Angeles. Their research focuses on inclusive graph machine learning and natural language processing, including fairness, bias, ethics, and integrating queer perspectives. They are further a core organizer of Queer in AI.
Host: Jon May and Meryem M'hamdi
More Info: https://nlg.isi.edu/nl-seminar/
Location: Information Science Institute (ISI) - Virtual and ISI-Conf Rm#689
WebCast Link: https://usc.zoom.us/j/96014548234
Audiences: Everyone Is Invited
Contact: Pete Zamar
Event Link: https://nlg.isi.edu/nl-seminar/