Avoiding Implicit Bias in Faculty Hiring

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.

Avoiding Implicit Biases in Faculty Recruitment: Part 1

Discusses key moments in faculty recruitment and strategies to overcome biases, including committee diversity and the 'He for She' initiative.