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Lecture
Implicit Bias Awareness: What's the Problem?
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Related lectures (32)
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Social Identity and Learning
Delves into implicit bias and stereotype threat in STEM education, exploring their impact on engagement and attainment.
Implicit Biases: Recognizing and Avoiding
Explores implicit biases, focusing on recognizing and avoiding them through the Implicit Association Test (IAT).
Implicit Bias in Academic Feedback
Analyzes the impact of implicit bias on academic feedback and student teamwork in university STEM programs.
Introduction to Implicit Biases
Covers the effectiveness of training programs in recognizing and avoiding implicit biases.
Avoiding Implicit Bias in Recruitment (Part 2)
Discusses strategies to avoid biases in recruitment processes and prevent stereotypes from influencing hiring decisions.
Reducing Bias in Education
Explores strategies to reduce bias in education and highlights the impact of interventions on student outcomes.
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.
Recognizing and Avoiding Implicit Bias
Delves into how behaviors are perceived differently based on the person exhibiting them.
How to Overcome Implicit Bias
Explores strategies to overcome implicit bias through awareness, motivation, and effort, using practical techniques and examples.