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Lecture
Introduction to Implicit Biases
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Related lectures (32)
Manifestations of Implicit Bias
Delves into implicit bias manifestations, gender perception impact, traits in job interviews, team collaboration, and self-fulfilling prophecy.
Implicit Bias Awareness: What's the Problem?
Delves into implicit bias training effectiveness, gender stereotypes, and leadership positions.
Gender Impact in Engineering Education
Explores the impact of gender on engineering students' group work experiences, emphasizing the need to address implicit biases and stereotypes.
Recognizing and Avoiding Implicit Bias
Delves into how behaviors are perceived differently based on the person exhibiting them.
Generalization in Deep Learning
Explores generalization in deep learning, covering model complexity, implicit bias, and the double descent phenomenon.
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.
Overcoming Implicit Biases: Recognize, Avoid, Act
Explores strategies to recognize and overcome implicit biases through controlled cognition and breaking stereotypical associations.
Implicit Biases: Recognizing and Avoiding
Explores implicit biases, focusing on recognizing and avoiding them through the Implicit Association Test (IAT).
Avoiding Implicit Biases in Faculty Recruitment: Part 2
Explores recognizing and preventing implicit biases in faculty recruitment processes, emphasizing gender equality strategies.
Avoiding Implicit Bias in Recruitment (Part 2)
Discusses strategies to avoid biases in recruitment processes and prevent stereotypes from influencing hiring decisions.
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.
Implicit Bias: Gender Stereotypes
Delves into the underrepresentation of women in leadership, addressing implicit bias, gender stereotypes, and social identity theory.
Social Identity and Learning
Delves into implicit bias and stereotype threat in STEM education, exploring their impact on engagement and attainment.
Non-Participant Observation: Field Notes and Analysis
Emphasizes understanding end users' perspectives through non-participant observation and field notes.
Implicit Biases: Recognizing and Avoiding
Delves into implicit biases, their recognition, avoidance, effectiveness of training programs, and origins of gender stereotypes.
Recognizing and Avoiding Implicit Biases
Delves into implicit biases and gender stereotypes affecting leadership representation.
Gender Impact in Engineering Education
Examines the influence of gender on engineering students' group work experiences, focusing on biases, stereotypes, and inclusive teaching strategies.
Reducing Bias in Education
Explores strategies to reduce bias in education and highlights the impact of interventions on student outcomes.
Implicit Bias in Academic Feedback
Analyzes the impact of implicit bias on academic feedback and student teamwork in university STEM programs.
Gender Disparities in Engineering Education
Explores gender disparities in engineering education, including implicit bias and stereotype threat.
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