We are a Filipino-Chinese couple living in the heart of Manila. We have been together for 20 years and decided to make this podcast to share our life experiences. Our podcast has no format and may discuss random things like relationships, recommended food in Binondo or about our philosophy in life. If you like our podcast, don’t forget to click the subscribe/follow button and give us a 5 star rating ^.^ Please visit our FB page @kwentuhansessionsph and ig page @kwentuhansessions. You can als ...
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محتوای ارائه شده توسط Digital Sociology. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Digital Sociology یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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Episode 18: Frank Pasquale, big data, algorithms and discrimination in the black box society
Manage episode 226174189 series 2480285
محتوای ارائه شده توسط Digital Sociology. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Digital Sociology یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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 قسمت
Manage episode 226174189 series 2480285
محتوای ارائه شده توسط Digital Sociology. تمام محتوای پادکست شامل قسمتها، گرافیکها و توضیحات پادکست مستقیماً توسط Digital Sociology یا شریک پلتفرم پادکست آنها آپلود و ارائه میشوند. اگر فکر میکنید شخصی بدون اجازه شما از اثر دارای حق نسخهبرداری شما استفاده میکند، میتوانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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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continue reading
38 قسمت
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