Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Lecture

Implicit Bias Awareness Seminar: What the Course is About

Description

This lecture introduces the Implicit Bias Awareness Seminar, focusing on the importance of becoming aware of one's cultural assumptions, values, and biases, as well as learning to monitor one's actions and show appropriate responses to members of specific groups. The content covers implicit biases related to gender, age, race, sexual orientation, nationality, religion, and handicap.

Official source

Related concepts (7)

Implicit stereotype

An implicit bias or implicit stereotype is the pre-reflective attribution of particular qualities by an individual to a member of some social out group. Implicit stereotypes are thought to be shaped by experience and based on learned associations between particular qualities and social categories, including race and/or gender. Individuals' perceptions and behaviors can be influenced by the implicit stereotypes they hold, even if they are sometimes unaware they hold such stereotypes.

Implicit-association test

The implicit-association test (IAT) is an assessment intended to detect subconscious associations between mental representations of objects (concepts) in memory. Its best-known application is the assessment of implicit stereotypes held by test subjects, such as associations between particular racial categories and stereotypes about those groups. The test has been applied to a variety of belief associations, such as those involving racial groups, gender, sexuality, age, and religion but also the self-esteem, political views, and predictions of the test taker.

Implicit attitude

Implicit attitudes are evaluations that occur without conscious awareness towards an attitude object or the self. These evaluations are generally either favorable or unfavorable and come about from various influences in the individual experience. The commonly used definition of implicit attitude within cognitive and social psychology comes from Anthony Greenwald and Mahzarin Banaji's template for definitions of terms related to implicit cognition: "Implicit attitudes are introspectively unidentified (or inaccurately identified) traces of past experience that mediate favorable or unfavorable feeling, thought, or action toward social objects".

Implicit cognition

Implicit cognition refers to cognitive processes that occur outside conscious awareness or conscious control. This includes domains such as learning, perception, or memory which may influence a person's behavior without their conscious awareness of those influences. Implicit cognition is everything one does and learns unconsciously or without any awareness that one is doing it. An example of implicit cognition could be when a person first learns to ride a bike: at first they are aware that they are learning the required skills.

Cultural evolution

Cultural evolution is an evolutionary theory of social change. It follows from the definition of culture as "information capable of affecting individuals' behavior that they acquire from other members of their species through teaching, imitation and other forms of social transmission". Cultural evolution is the change of this information over time. Cultural evolution, historically also known as sociocultural evolution, was originally developed in the 19th century by anthropologists stemming from Charles Darwin's research on evolution.

Related lectures (31)

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