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Lecture

New Technologies in Recruitment

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Delves into the impact of new technologies on recruitment and selection processes in firms, emphasizing the need to predict future work performance.

Explores combining data at rest with data in motion, emphasizing the Lambda architecture complexities and quality assessment of streams and batches.

Explores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.

Explores the reasons behind our susceptibility to irrational beliefs and the impact of sociological and psychological factors on our beliefs.

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

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

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

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

Introduces controversies in the sociology of science and society, focusing on the study of social groups and networks.

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

Explores business models of popular platforms, impact of targeted advertising, filter bubbles, online harassment, and technology in politics.

Explores quantifying algorithm learning, empirical risk minimization, inductive bias, and hypothesis spaces.

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

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

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

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

Offers a comprehensive guide on setting up your laptop for Zoom.

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

Delves into biases and stereotypes in learning environments, emphasizing strategies to reduce biases and enhance learning outcomes.

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