Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

2020-02-13 · 41 min · episode 348 · 13 entities

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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

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Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348
→ hosted by Sam Charrington person

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Feed author/publisher: Sam Charrington
→ discusses News concept

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→ discusses Technology company

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Feed category: Technology
→ discusses Science concept

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evidence rules-v4
Feed category: Science
→ discusses Tech News concept

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evidence rules-v4
Feed category: Tech News
→ hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

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concepts 5

mentioned Science concept

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Feed category: Science
mentioned Tech News concept

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evidence rules-v4
Feed category: Tech News
discusses News concept

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evidence rules-v4
Feed category: News
discusses Science concept

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evidence rules-v4
Feed category: Science
discusses Tech News concept

0.40 · ×2

evidence rules-v4
Feed category: Tech News

companys 4

mentioned TWIML company

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evidence rules-v4
Feed author/publisher: TWIML
mentioned Technology company

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evidence rules-v4
Feed category: Technology
discusses Technology company

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evidence rules-v4
Feed category: Technology
hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

persons 3

mentioned Abeba Birhane person

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Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348
mentioned Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington
hosted by Sam Charrington person

0.55 · ×2

evidence rules-v4
Feed author/publisher: Sam Charrington

podcasts 1

appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68 · ×2

evidence rules-v4
Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

Episode description as stored

Today we’re joined by Abeba Birhane, PhD Student at University College Dublin and author of the recent paper Algorithmic Injustices: Towards a Relational Ethics, which was the recipient of the Best Paper award at the 2019 Black in AI Workshop at NeurIPS. In our conversation, break down the paper and the thought process around AI ethics, the “harm of categorization,” how ML generally doesn’t account for the ethics of various scenarios and how relational ethics could solve the issue, and much more.