“LA Made” is a series exploring stories of bold Californian innovators and how they forever changed the lives of millions all over the world. Each season will unpack the untold and surprising stories behind some of the most exciting innovations that continue to influence our lives today. Season 2, “LA Made: The Barbie Tapes,” tells the backstory of the world’s most popular doll, Barbie. Barbie is a cultural icon but what do you really know about her? Hear Barbie's origin story from the peopl ...
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A tartalmat a Digital Sociology biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Digital Sociology vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Episode 18: Frank Pasquale, big data, algorithms and discrimination in the black box society
M4A•Epizód kép
Manage episode 226174189 series 2480285
A tartalmat a Digital Sociology biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Digital Sociology vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
In this episode I am speaking to Frank Pasquale who is Professor of Law at the University of Maryland. We talk about his work which has addressed the impact of big data and algorithmic processing on reputation, search and finance. We discussed how the data we generate an hour every day lives has enabled a drive to assess, rank and judge ourselves and others. He offer some insight as to why and how credit rating agencies have become so powerful and what impact they have. Frank also warns that critiques of data driven analysis and ranking can often just lead to more surveillance.We talk about the how big data can create discrimination as conclusions from one type of data can be applied to other areas of our lives. Frank stresses The importance of keeping human input into rankings and ratings. You can follow Frank on Twitter @FrankPasquale and see his website athttp://www.frankpasquale.com/The abstract to Frank's book The Black Box Society: The Secret Algorithms that Control Money and Information is here: https://digitalcommons.law.umaryland.edu/books/96/ You can listen to the episode on the Anchor site and download or subscribe on iTunes, Spotify, Google Podcasts or wherever you usually get podcasts.
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38 epizódok
M4A•Epizód kép
Manage episode 226174189 series 2480285
A tartalmat a Digital Sociology biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a Digital Sociology vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
In this episode I am speaking to Frank Pasquale who is Professor of Law at the University of Maryland. We talk about his work which has addressed the impact of big data and algorithmic processing on reputation, search and finance. We discussed how the data we generate an hour every day lives has enabled a drive to assess, rank and judge ourselves and others. He offer some insight as to why and how credit rating agencies have become so powerful and what impact they have. Frank also warns that critiques of data driven analysis and ranking can often just lead to more surveillance.We talk about the how big data can create discrimination as conclusions from one type of data can be applied to other areas of our lives. Frank stresses The importance of keeping human input into rankings and ratings. You can follow Frank on Twitter @FrankPasquale and see his website athttp://www.frankpasquale.com/The abstract to Frank's book The Black Box Society: The Secret Algorithms that Control Money and Information is here: https://digitalcommons.law.umaryland.edu/books/96/ You can listen to the episode on the Anchor site and download or subscribe on iTunes, Spotify, Google Podcasts or wherever you usually get podcasts.
…
continue reading
38 epizódok
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