Ph.D. Thesis Defense - Ali Omrani

Ph.D. Thesis Defense - Ali Omrani
 
Committee: Morteza Dehghani (Chair),  Xiang Ren, Robin Jia, Payam Piray, and Jeffrey Sorensen 
 
Title: Countering Problematic Content in Digital Space: Bias Reduction and Dynamic Content Adaptation
 
Abstract:   Problematic content, such as hate speech, poses a significant challenge to society, leading to discrimination and exclusion while undermining inclusivity and well-being. This thesis proposal outlines my efforts to create adaptable solutions for combating problematic content in digital space through a theory-motivated approach that bridges language technology and social sciences. I will begin by presenting an innovative group-agnostic method for bias mitigation in language models, which is grounded in a deep understanding of stereotyping from social psychology. Subsequently, I will introduce a novel continual learning framework for problematic content detection that captures the ever-evolving nature of this issue. Afterward, I discuss my work that extends this framework to multilingual settings, with a specific emphasis on two key aspects: 1. Harnessing cultural diversity for cross-lingual transfer of offensive language detection and 2. Investigating the challenges posed by disparities in data quality across various languages.Date and Time: March 25th, 2:00 PM - 4:00 PM
Location:  Room 266, USC Brain and Creativity Institute 605, 3620 McClintock Ave, Los Angeles, CA 90089
 
 

Location: Dornsife Neuroscience Imaging Center (DNI) - 266

Audiences: Everyone Is Invited

Contact: CS Events