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Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)


Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

ratings:
Length:
41 minutes
Released:
Feb 13, 2020
Format:
Podcast episode

Description

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. We caught up with Abeba, whose aforementioned paper was the recipient of the Best Paper award at the most recent Black in AI Workshop at NeurIPS, to go in-depth on the paper and the thought process around AI ethics. In our conversation, we discuss the “harm of categorization”, and how the thinking around these categorizations should be discussed, how ML generally doesn’t account for the ethics of various scenarios and how relational ethics could solve this issue, her most recent paper “Robot Rights? Let’s Talk about Human Welfare Instead,” and much more. Check out our complete write-up and resource page at twimlai.com/talk/348. 
Released:
Feb 13, 2020
Format:
Podcast episode

Titles in the series (100)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.