Explores the significance of anonymity in avoiding judgment based on personal characteristics and the need to balance it with accountability.
Delves into the impact of new technologies on recruitment and selection processes in firms, emphasizing the need to predict future work performance.
Explores bug-finding, verification, and the use of learning-aided approaches in program reasoning, showcasing examples like the Heartbleed bug and differential Bayesian reasoning.
Explores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.
Discusses the ethical implications of NLP systems, focusing on biases, toxicity, and privacy concerns in language models.
Introduces key human rights concepts, explores discrimination, social norms, and the impact of algorithms on rights.
Explores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
Covers critical thinking, theoretical behavior explanations, emotional origins, methodological research considerations, environmental psychology, cognitive biases, and moral licensing.
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.
Covers the transition from a comparator to an amplifier, focusing on the different stages and components involved.
