ΑΙhub.org
 

Radical AI podcast: featuring Moses Namara


by
19 January 2021



share this:
Moses Namara

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 Moses Namara about the new Black in AI academic program.

Mentorship through the Black in AI academic program with Moses Namara

In this episode, we interview Moses Namara of Black in AI about the new Black in AI academic program, a program that serves as a resource to support black junior researchers as they apply to graduate programs, navigate graduate school, and enter the postgraduate job market.

Moses Namara is a Facebook Research Fellow and Ph.D. candidate in Human-Centered Computing (HCC) at Clemson University. He uses interdisciplinary research methods from computer science, psychology, and the social sciences to understand the principles behind users’ adoption and use of technology, decision-making, and privacy attitudes and behaviors. His research interests are in the field of usable privacy and security and human-computer interaction.

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 :



Identifying patterns in insect scents using machine learning

  19 Dec 2025
Scientists will use machine learning to predict what types of molecules interact with insect olfactory receptors.

2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

  18 Dec 2025
We collate our interviews with the 2025 cohort of doctoral consortium participants.

A backlash against AI imagery in ads may have begun as brands promote ‘human-made’

  17 Dec 2025
In a wave of new ads, brands like Heineken, Polaroid and Cadbury have started celebrating their work as “human-made”.

AIhub blog post highlights 2025

  16 Dec 2025
As the year draws to a close, we take a look back at some of our favourite blog posts.

Using machine learning to track greenhouse gas emissions

  15 Dec 2025
PhD candidate Julia Wąsala searches for greenhouse gas emissions in satellite data.

AAAI 2025 presidential panel on the future of AI research – video discussion on AGI

  12 Dec 2025
Watch the first in a series of video discussions from AAAI.

The Machine Ethics podcast: the AI bubble with Tim El-Sheikh

Ben chats to Tim about AI use cases, whether GenAI is even safe, the AI bubble, replacing human workers, data oligarchies and more.

Australia’s vast savannas are changing, and AI is showing us how

Improving decision-making for dynamic and rapidly changing environments.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence