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.
