Artwork

Konten disediakan oleh Digital Sociology. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Digital Sociology atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.
Player FM - Aplikasi Podcast
Offline dengan aplikasi Player FM !

Episode 18: Frank Pasquale, big data, algorithms and discrimination in the black box society

28:19
 
Bagikan
 

Manage episode 226174189 series 2480285
Konten disediakan oleh Digital Sociology. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Digital Sociology atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.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 episode

Artwork
iconBagikan
 
Manage episode 226174189 series 2480285
Konten disediakan oleh Digital Sociology. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Digital Sociology atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.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 episode

Alle episoder

×
 
Loading …

Selamat datang di Player FM!

Player FM memindai web untuk mencari podcast berkualitas tinggi untuk Anda nikmati saat ini. Ini adalah aplikasi podcast terbaik dan bekerja untuk Android, iPhone, dan web. Daftar untuk menyinkronkan langganan di seluruh perangkat.

 

Panduan Referensi Cepat