Lectures related to Systemic bias

Assessment of Learning: Fairness, Bias, and Reliability

Delves into fairness, bias, and reliability in learning assessment, addressing unconscious bias and gender disparities in science education.

Psychological Mechanisms in Social Psychology

Explores psychological mechanisms in social psychology through empirical research work and specific approaches.

From Comparator to Amplifier

Covers the transition from a comparator to an amplifier, focusing on the different stages and components involved.

Equality, Diversity, and Inclusion in Knowledge Infrastructures

Explores equality, diversity, and inclusion in knowledge infrastructures, emphasizing the importance of bibliodiversity and addressing systemic biases in academic knowledge production.

Ethics in Natural Language Processing: Addressing Bias and Misinformation

Covers ethical considerations in NLP, focusing on bias, toxicity, and misinformation.

Estimation Criteria

Covers criteria for estimating parameters, emphasizing the importance of consistency, bias, variance, and efficiency of estimators.

Anonymity and Accountability

Explores the significance of anonymity in avoiding judgment based on personal characteristics and the need to balance it with accountability.

Geometric Ergodicity: Convergence Diagnostics

Covers the concept of geometric ergodicity in the context of convergence diagnostics for Markov chains.

New Technologies in Recruitment

Explores the impact of new technologies on recruitment, emphasizing the importance of fair and accurate tools.

Interaction and Biases in Learning

Discusses the impact of interaction, biases, and feedback on learning tools and educational settings.

Stereotypes and Discrimination

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

Environmental Psychology: Human Interaction with the Environment

Explores human-environment interaction, cognitive biases, and barriers to climate change mitigation.

Ethical Engineering: Learning and Bias

Covers motivation, bias, stress, and learning routines in education, emphasizing the impact of social identity and unconscious biases.

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.

Signal Detection Theory

Explores Signal Detection Theory and its impact on decision-making processes in statistics and experimental design.

Measuring Learning: Experimental Design

Explores experimental design for measuring learning outcomes and discusses biases, group equivalence, and within-subjects designs.

Avoiding Stereotypes: Understanding Bias and Perception

Delves into the distortion caused by stereotypes and their partial truth.

Understanding Statistics & Experimental Design

Explores unequal variances, replication, power, effect size, biases, and their impact on research outcomes.

Effective Teaching Evaluations: Dimensions and Formulation Tips

Discusses the multidimensional nature of teaching evaluations and offers tips for formulating effective questions.

Global Governance of AI

Explores the importance of global governance in Artificial Intelligence, emphasizing ethical practices, bias issues, and trust in AI technologies.