Implicit Bias: Gender Stereotypes

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Understanding Generalization: Implicit Bias & Optimization

Explores the trade-off between complexity and risk in machine learning models, the benefits of overparametrization, and the implicit bias of optimization algorithms.

Recognizing and Avoiding Implicit Bias

Delves into how behaviors are perceived differently based on the person exhibiting them.

Group Formation & Ethnocentrism

Examines group formation, social identity, stereotypes, and ethnic conflicts, emphasizing the impact of ethnocentrism and urban environments.

Introduction to Implicit Biases

Covers the effectiveness of training programs in recognizing and avoiding implicit biases.

Ethics in Natural Language Processing: Addressing Bias and Misinformation

Covers ethical considerations in NLP, focusing on bias, toxicity, and misinformation.

Avoiding Implicit Biases in Faculty Recruitment: Part 2

Explores recognizing and preventing implicit biases in faculty recruitment processes, emphasizing gender equality strategies.

Gradient Descent on Two-Layer ReLU Neural Networks

Analyzes gradient descent on two-layer ReLU neural networks, exploring global convergence, regularization, implicit bias, and statistical efficiency.

Social Identity: Categorization and Intergroup Conflict

Explores social identity, categorization, and intergroup conflicts, emphasizing the impact of group interactions on perceptions and behaviors.

Irrational beliefs: sociological and psychological perspectives

Explores the reasons behind our susceptibility to irrational beliefs and the impact of sociological and psychological factors on our beliefs.

Implicit Bias in Machine Learning

Explores implicit bias, gradient descent, stability in optimization algorithms, and generalization bounds in machine learning.