ΑΙhub.org
 

Radical AI podcast: featuring Sasha Costanza-Chock

by
10 November 2021



share this:

Sasha Costanza-Chock
Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Sasha Costanza-Chock about design justice.

Design Justice 101

What is design justice? How can we employ it to disrupt power systems supporting the matrix of domination?

In this episode, we interview Sasha Costanza-Chock about the 101 of design justice and how we can use it as a force for collective liberation.

Sasha Costanza-Chock is a researcher and designer who works to support community-led processes that build shared power, dismantle the matrix of domination, and advance ecological survival. Sasha is the Director of Research & Design at the Algorithmic Justice League and is the author of Design Justice: Community-Led Practices to Build the Worlds We Need.

Follow Sasha on Twitter @schock.

Full show notes for this episode can be found at Radical AI.

Listen to the episode below:

About Radical AI:

Hosted by Dylan Doyle-Burke, a PhD student at the University of Denver, and Jessie J Smith, a PhD student at the University of Colorado Boulder, Radical AI is a podcast featuring the voices of the future in the field of Artificial Intelligence Ethics.

Radical AI lifts up people, ideas, and stories that represent the cutting edge in AI, philosophy, and machine learning. In a world where platforms far too often feature the status quo and the usual suspects, Radical AI is a breath of fresh air whose mission is “To create an engaging, professional, educational and accessible platform centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate to co-create the field of Artificial Intelligence Ethics.”

Through interviews with rising stars and experts in the field we boldly engage with the topics that are transforming our world like bias, discrimination, identity, accessibility, privacy, and issues of morality.

To find more information regarding the project, including podcast episode transcripts and show notes, please visit Radical AI.



tags: ,


The Radical AI Podcast




            AIhub is supported by:


Related posts :



The Turing Lectures: Can we trust AI? – with Abeba Birhane

Abeba covers biases in data, the downstream impact on AI systems and our daily lives, how researchers are tackling the problem, and more.
21 November 2024, by

Dynamic faceted search: from haystack to highlight

The authors develop and compare three distinct methods for dynamic facet generation (DFG).
20 November 2024, by , and

Identification of hazardous areas for priority landmine clearance: AI for humanitarian mine action

In close collaboration with the UN and local NGOs, we co-develop an interpretable predictive tool to identify hazardous clusters of landmines.
19 November 2024, by

On the Road to Gundag(AI): Ensuring rural communities benefit from the AI revolution

We need to help regional small businesses benefit from AI while avoiding the harmful aspects.
18 November 2024, by

Making it easier to verify an AI model’s responses

By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.
15 November 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association