Colloquia
Sociology Department Colloquium Series
Blumer Room - 402 Social Sciences Building
MONDAYS, 2:00 - 3:30 PM
[unless otherwise noted]
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Blumer Room - 402 Social Sciences Building
Gender/sex is in AI. Sociologists and tech critics alike have written extensively about the consequences of it being there. Many technologists and not a few scientists celebrate its presence. But how exactly do gender, sex, and their ambiguous conflations enter into ‘AI’? This talk develops an account of analytically distinct sociotechnical processes by which social facts such as gender/sex become embedded in computer systems, with a focus on contemporary machine learning. As I will show, individual agency, social (infra)structure, and the logic of learning algorithms themselves all have roles to play.
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Blumer Room - 402 Social Sciences Building
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Blumer Room - 402 Social Sciences Building
Abstract:
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Blumer Room - 402 Social Sciences Building
"Panel and Open Discussion on the 2024 Election in Sociological Perspective."
Moderator: Kim Voss
Panelists: Cristina Mora, Cihan Tugal, Dylan Riley, and Michael Rodriguez-Muniz.
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Blumer Room - 402 Social Sciences Building
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Social Science Matrix, 820 Social Sciences Building
Presented by the UC Berkeley Computational Research for Equity in the Legal System Training Program (CRELS)
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Blumer Room - 402 Social Sciences Building
Individuals do not respond uniformly to treatments, such as events or interventions. Sociologists routinely partition samples into subgroups to explore how the effects of treatments vary by selected covariates, such as race and gender, based on theoretical priors. Emerging machine learning methods based on decision trees allow researchers to explore sources of variation that they may not have previously considered. In this talk, Brand describes a range of approaches to study effect heterogeneity, including tree-based machine learning.
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Blumer Room - 402 Social Sciences Building
Abstact:
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Blumer Room - 402 Social Sciences Building
Abstract: