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Algorithmic Destruction
Podcast: Techdirt (LS 39 · TOP 2% what is this?)
Episode: Algorithmic Destruction
Pub date: 2022-04-12
Get Podcast Transcript →
powered by Listen411 - fast audio-to-text and summarization
People often talk about some kind of "right to deletion" as an approach to fixing online privacy issues. This construct can create problems, as we've seen with Europe's version, but newer proposals don't seem to consider these lessons. A recent paper by law professor Tiffany Li looks at another angle on the issue: how data deletion impacts algorithms and AI-trained models. This week, Tiffany joins us on the podcast to discuss this concept of "algorithmic destruction", and how policy makers are ignoring it.
Episode: Algorithmic Destruction
Pub date: 2022-04-12
Get Podcast Transcript →
powered by Listen411 - fast audio-to-text and summarization
People often talk about some kind of "right to deletion" as an approach to fixing online privacy issues. This construct can create problems, as we've seen with Europe's version, but newer proposals don't seem to consider these lessons. A recent paper by law professor Tiffany Li looks at another angle on the issue: how data deletion impacts algorithms and AI-trained models. This week, Tiffany joins us on the podcast to discuss this concept of "algorithmic destruction", and how policy makers are ignoring it.
"Algorithmic Destruction" paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066845
The podcast and artwork embedded on this page are from Techdirt, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
The podcast and artwork embedded on this page are from Techdirt, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
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By The Syllabus / Listen NotesPodcast: Techdirt (LS 39 · TOP 2% what is this?)
Episode: Algorithmic Destruction
Pub date: 2022-04-12
Get Podcast Transcript →
powered by Listen411 - fast audio-to-text and summarization
People often talk about some kind of "right to deletion" as an approach to fixing online privacy issues. This construct can create problems, as we've seen with Europe's version, but newer proposals don't seem to consider these lessons. A recent paper by law professor Tiffany Li looks at another angle on the issue: how data deletion impacts algorithms and AI-trained models. This week, Tiffany joins us on the podcast to discuss this concept of "algorithmic destruction", and how policy makers are ignoring it.
Episode: Algorithmic Destruction
Pub date: 2022-04-12
Get Podcast Transcript →
powered by Listen411 - fast audio-to-text and summarization
People often talk about some kind of "right to deletion" as an approach to fixing online privacy issues. This construct can create problems, as we've seen with Europe's version, but newer proposals don't seem to consider these lessons. A recent paper by law professor Tiffany Li looks at another angle on the issue: how data deletion impacts algorithms and AI-trained models. This week, Tiffany joins us on the podcast to discuss this concept of "algorithmic destruction", and how policy makers are ignoring it.
"Algorithmic Destruction" paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4066845
The podcast and artwork embedded on this page are from Techdirt, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
The podcast and artwork embedded on this page are from Techdirt, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.