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This Episode Of The Planet Money Podcast Features A UPS Driver

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2014)
1. This episode of the Planet Money podcast features a UPS driver who began his job in the 1990s. How has his job changed since he began working? What are some of the negative consequences of these changes? How have they also been positive for UPS workers? Bill’s job has become increasingly more regulated. The computer that he carries logs everything he does, including where he places the package and how many steps he takes. He is critiqued for anything that delays his job or inhibits efficiency, even something as simple as pressing the wrong button. However, because drivers like Bill are part of a union they cannot be fired solely based on the data collected on their work. Also, because their increased efficiency means they can …show more content…

Garvie, Bedoya, and Frankle, “The Perpetual Line-Up” (2016)
1. What is ‘facial recognition’ technology? Who is using it? How? How many people are affected by it? Facial recognition technology is Face recognition is the automated process of comparing two images of faces to determine whether they represent the same individual. It relies on algorithms to locate a person’s face within the photo, after which the face is normalized (scaled, rotated, aligned, so that every face is analyzed from the same position). Next, the algorithm extracts features from the face that can be numerically quantified and then it examines pairs of faces and issues a numerical score based on the similarity of their features. This technology is employed by the FBI, as well as state and local law enforcement. One in two adults has their photos searched this way, primarily including law abiding citizens. However, African Americans are disproportionately …show more content…

Thus, facial recognition can be used to track individuals engaging in political, religious, and other protected free speech. Also, the systems are less accurate than fingerprinting, which can cause any number of mistaken identity cases, especially since confirming a match is up to the police officers who are wrong half the time. Furthermore, because the systems are less accurate for African Americans, who also have higher arrest rates, they will be disproportionately

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