ΑΙhub.org
 

Radical AI podcast: featuring Su Lin Blodgett

by
08 April 2021



share this:

Su Lin Blodgett
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 Su Lin Blodgett about defining bias.

Defining bias with Su Lin Blodgett

How do we define bias? Is all bias the same? Is it possible to eliminate bias completely in our AI systems? Should we even try? To answer these questions and more we welcome to the show Su Lin Blodgett.

Su Lin is a postdoctoral researcher in the Fairness, Accountability, Transparency, and Ethics (FATE) group at Microsoft Research Montréal. She is broadly interested in examining the social implications of Natural Language Processing, or NLP technologies, and in using NLP approaches to examine language variation and change. She previously completed her Ph.D. in computer science at the University of Massachusetts Amherst.

Follow Su Lin Blodgett on Twitter @sulin_blodgett.

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 :



All questions answered: how CLAIRE shapes the future of AI in Europe

Watch the next in the series of CLAIRE's All Questions Answered (AQuA) events.
27 January 2023, by

UrbanTwin: seeing double for sustainability

A digital twin for urban infrastructure: assessing the effectiveness of climate-related policies and actions.
26 January 2023, by

Counterfactual explanations for land cover mapping: interview with Cassio Dantas

Cassio tells us about work applying counterfactual explanations to remote sensing time series data for land-cover mapping classification.
25 January 2023, by

Bottom-up top-down detection transformers for open vocabulary object detection

We introduce a model that detects all objects that a phrase mentions.
23 January 2023, by

The Good Robot Podcast: featuring Arjun Subramonian

In this episode, Eleanor and Kerry talk to Arjun Subramonian on queer approaches to AI and computing.
20 January 2023, by





©2021 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association