ΑΙhub.org
 

Radical AI podcast: featuring Deep Dhillon


by
06 February 2023



share this:
Deep Dhillon

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 Deep Dhillon about the ins and outs of ChatGPT.

Listen to the episode below:


ChatGPT – what is it? How does it work? Should we be excited? Or scared?

This recent natural language chatbot has been getting ALL the hype. In this episode we interview Deep Dhillon about the ins and outs of ChatGPT!

Deep is the co-founder and leader of technology development at Xyonix, where his mission is to find novel value in clients’ data. Deep has experience as a technology executive; conceptualizing, architecting and deploying advanced applications, leveraging machine learning, natural language processing and data science to build smarter businesses and more powerful products.

Follow Deep on Twitter @zang0.

Listen to Your AI Injection Podcast.

If you enjoyed this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at @radicalaipod.

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 :

AI enables a Who’s Who of brown bears in Alaska

  18 Feb 2026
A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season.

Learning to see the physical world: an interview with Jiajun Wu

and   17 Feb 2026
Winner of the 2019 AAAI / ACM SIGAI dissertation award tells us about his current research.

3 Questions: Using AI to help Olympic skaters land a quint

  16 Feb 2026
Researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.

AAAI presidential panel – AI and sustainability

  13 Feb 2026
Watch the next discussion based on sustainability, one of the topics covered in the AAAI Future of AI Research report.

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

  12 Feb 2026
Find out more about work published at the Conference on Robot Learning (CoRL).

From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal

and   11 Feb 2026
We hear from Aishwarya about research that received a 2019 AAAI / ACM SIGAI Doctoral Dissertation Award honourable mention.

Governing the rise of interactive AI will require behavioral insights

  10 Feb 2026
Yulu Pi writes about her work that was presented at the conference on AI, ethics and society (AIES 2025).

AI is coming to Olympic judging: what makes it a game changer?

  09 Feb 2026
Research suggests that trust, legitimacy, and cultural values may matter just as much as technical accuracy.


AIhub is supported by:







 













©2026.01 - Association for the Understanding of Artificial Intelligence