Regular biography
Saadia Gabriel is an Assistant Professor in the Department of Computer Science at the University of California, Los Angeles. Her research focuses on measuring factuality and intent in human-written language. She has contributed to notable publications, including works on adversarial and implicit hate speech detection, factual consistency in summarization, and social bias in language. Gabriel has also collaborated on projects involving robotic vision and weather radar data analysis. Her work has been recognized with awards such as the Forbes 30 Under 30 (2023) and the Google-LEAP Fellowship (2021).
Scholar-generated biography
Saadia Gabriel is an Assistant Professor at UCLA with expertise in natural language processing and machine learning. Her research focuses on developing interpretable models for complex tasks such as hate speech detection, mental health prediction, and reasoning about social implications of language. She has contributed to creating large-scale datasets for adversarial and implicit hate speech detection and explored the ethical and societal impacts of AI systems. Her work also includes evaluating the factual consistency of summaries, analyzing biases in machine moral judgment, and investigating the role of AI in mental health support. Gabriel's research emphasizes the intersection of AI with social, ethical, and psychological dimensions.