Introduction to Human Rights

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Related lectures (31)

Page 1 of 4

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

AI and FX Practical Course

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

Ethics and Fairness in Machine Learning

Explores the ethical implications of deploying machine learning algorithms and emphasizes the importance of fairness in decision-making processes.

Data Issues in Research

Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.

Self-Organization: Challenges and Applications

Explores the benefits, challenges, and applications of self-organization in various fields.

Fairness in Algorithmic Decision-Making

Delves into the challenges of ensuring fairness in algorithmic decision-making processes, addressing biases and historical injustices in data.

Stereotypes and Discrimination

Examines the effects of stereotypes on behavior, hiring decisions, and gender equality.

Social Psychology: Intergroup Relations

Explores intergroup discrimination mechanisms and the impact of social support.

Bias in Machine Learning

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

Social Psychology of Environmental Issues

Delves into the historical development of environmental psychology, the emergence of pro-environmental attitudes, and the study of human-environment dynamics.