PhD Students' Role in Addressing Inappropriate Behavior

Related lectures (31)

Page 3 of 4

Explores legal and ethical aspects of AI, focusing on autonomy, responsibility, and societal impact.

Explores the Ethics and Law of AI, focusing on data ethics, bias, and social justice in AI systems.

Introduces 'How People Learn: Designing Learning Tools' at EPFL, focusing on emotions, diversity, and ethics in engineering education.

Explores intergroup discrimination mechanisms and the impact of social support.

Delves into the impact of groups on individual behavior and intergroup relations.

Explores social identity, categorization, and intergroup conflicts, emphasizing the impact of group interactions on perceptions and behaviors.

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

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

Examines sociological explanations of urban relegation, economic logic, housing preferences, and institutional influences on urban segregation.

Explores the definition, goals, and implications of smart borders, including data privacy concerns and the impact on migrants' rights.