ΑΙhub.org
 

Radical AI podcast: featuring Lilly Irani


by
08 July 2020



share this:
Lilly Irani

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 Lilly Irani about “Labor and Innovation: Exploring the Power of Design and Storytelling”.

Labor and Innovation: Exploring the Power of Design and Storytelling with Lilly Irani

What is the intersection between labor justice movements and the AI technology industry? How can we use design and ethnography to address the relationship between technology, power, and liberation? To answer these questions and more The Radical AI Podcast welcomes Dr Lilly Irani to the show. Dr Lilly Irani is an associate professor of communication and science studies at the University of California, San Diego. She is a cofounder and maintainer of digital labor activism tool Turkopticon, and author of the book Chasing Innovation: Making Entrepreneurial Citizens in Modern India. Dr Irani’s research broadly investigates the cultural politics of high-tech work practices with a focus on how actors produce “innovation” cultures. 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.




The Radical AI Podcast




            AIhub is supported by:


Related posts :



monthly digest

AIhub monthly digest: June 2025 – gearing up for RoboCup 2025, privacy-preserving models, and mitigating biases in LLMs

  26 Jun 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

RoboCupRescue: an interview with Adam Jacoff

  25 Jun 2025
Find out what's new in the RoboCupRescue League this year.

Making optimal decisions without having all the cards in hand

Read about research which won an outstanding paper award at AAAI 2025.

Exploring counterfactuals in continuous-action reinforcement learning

  20 Jun 2025
Shuyang Dong writes about her work that will be presented at IJCAI 2025.

What is vibe coding? A computer scientist explains what it means to have AI write computer code − and what risks that can entail

  19 Jun 2025
Until recently, most computer code was written, at least originally, by human beings. But with the advent of GenAI, that has begun to change.

Gearing up for RoboCupJunior: Interview with Ana Patrícia Magalhães

  18 Jun 2025
We hear from the organiser of RoboCupJunior 2025 and find out how the preparations are going for the event.

Interview with Mahammed Kamruzzaman: Understanding and mitigating biases in large language models

  17 Jun 2025
Find out how Mahammed is investigating multiple facets of biases in LLMs.

Google’s SynthID is the latest tool for catching AI-made content. What is AI ‘watermarking’ and does it work?

  16 Jun 2025
Last month, Google announced SynthID Detector, a new tool to detect AI-generated content.



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence