Stereotypes and Discrimination

Related lectures (31)

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Introduces key human rights concepts, explores discrimination, social norms, and the impact of algorithms on rights.

Introduces the AI and FX practical course, focusing on weekly readings and discussions on ethical and legal aspects of AI.

Explores the emotional impact of discrimination, strategies for intervention, and the cultural context of LGBTQ+ discrimination.

Delves into the underrepresentation of women in leadership, addressing implicit bias, gender stereotypes, and social identity theory.

Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.

Delves into the 1970s feminist movement in Switzerland, covering voting rights, activism, and gender equality.

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

Delves into the impact of bias in machine learning models and the importance of evaluating potential harm in developing such systems.

Delves into implicit biases and gender stereotypes affecting leadership representation.

Examines gender and class intersectionality in housing, analyzing inequalities, access, and domestic dynamics.