Discovery
Uncharted: Access denied
Mar 25, 2024
In this podcast, Hannah Fry delves into stories of discovery and data. From uncovering bias in healthcare algorithms to revealing errors in debt data analysis, the episodes explore the impact of flawed systems on society. The discussions highlight the importance of transparency and fairness in algorithmic decision-making and the consequences of data errors on economic policies.
27:25
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Quick takeaways
- Algorithmic bias in healthcare algorithms favors white patients over black patients, emphasizing the need for unbiased algorithms.
- Thomas Herndon's reanalysis debunking the 90% debt threshold challenges global economic policies and exposes expert fallibility.
Deep dives
Dr. Obermeyer's Dilemma
In a busy Chicago hospital, Dr. Obermeyer faces the challenge of deciding whether a patient showing symptoms of a heart attack needs urgent cardiac intervention or just a simple pill to calm them down. The pressure of making critical decisions in such situations weighs heavily on the doctor, leading to introspection about the outcomes of his choices. This scenario introduces the concept of using artificial intelligence to assist healthcare professionals in decision-making processes to improve patient care and outcomes.
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