Lectures related to Avoiding Implicit Biases in Faculty Recruitment: Part 1

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.

Generalization in Deep Learning

Explores generalization in deep learning, covering model complexity, implicit bias, and the double descent phenomenon.

Overcoming Implicit Biases: Recognize, Avoid, Act

Explores strategies to recognize and overcome implicit biases through controlled cognition and breaking stereotypical associations.

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.

Introduction to Implicit Biases

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

Implicit Biases: Recognizing and Avoiding

Explores implicit biases, focusing on recognizing and avoiding them through the Implicit Association Test (IAT).

Implicit Bias Awareness: What's the Problem?

Delves into implicit bias training effectiveness, gender stereotypes, and leadership positions.

Implicit Bias in Recruitment: Recognize and Avoid

Explores strategies to avoid implicit biases in recruitment processes and the benefits of using evaluation grids and blind auditions.

Avoiding Implicit Bias in Faculty Hiring

Covers strategies to avoid implicit bias in faculty hiring and promote gender diversity.

Implicit Bias Awareness Seminar: What the Course is About

Introduces the importance of becoming aware of cultural assumptions and biases.

Avoiding Implicit Bias in Faculty Hiring

Covers strategies to avoid implicit bias in faculty hiring.

Recognizing and Avoiding Implicit Bias

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

Manifestations of Implicit Bias

Delves into implicit bias manifestations, gender perception impact, traits in job interviews, team collaboration, and self-fulfilling prophecy.

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 and Learning

Delves into implicit bias and stereotype threat in STEM education, exploring their impact on engagement and attainment.

Avoiding Implicit Bias in Recruitment (Part 2)

Discusses strategies to avoid biases in recruitment processes and prevent stereotypes from influencing hiring decisions.

Implicit Biases: Recognizing and Avoiding

Delves into implicit biases, their recognition, avoidance, effectiveness of training programs, and origins of gender stereotypes.

Avoiding Implicit Biases in Faculty Recruitment: Part 2

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

Recognizing and Avoiding Implicit Biases

Delves into implicit biases and gender stereotypes affecting leadership representation.

Reducing Bias in Education

Explores strategies to reduce bias in education and highlights the impact of interventions on student outcomes.