ΑΙhub.org
 

Radical AI podcast: featuring Anna Lenhart


by
23 February 2021



share this:
Anna Lenhart

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 Anna Lenhart about congress and the tech lobby.

Anti-trust: congress and the tech lobby with Anna Lenhart

What should you know about anti-trust regulation nationally and internationally? How does the tech sector drive policy? In this episode we interview Anna Lenhart

Anna Lenhart is a researcher for technology policy and democracy at University of Maryland’s iSchool Ethics & Values in Design Lab. She recently served as a TechCongress Fellow with the House Judiciary Committee Antitrust Subcommittee and supported the investigation into Facebook, Google, Amazon and Apple.

Follow Anna Lenhart on Twitter @AnnaCLenhart.

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 :



What are small language models and how do they differ from large ones?

  06 Jan 2026
Let’s explore what makes SLMs and LLMs different – and how to choose the right one for your situation.

Forthcoming machine learning and AI seminars: January 2026 edition

  05 Jan 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 5 January and 28 February 2026.

AAAI presidential panel – AI perception versus reality video discussion

  02 Jan 2026
Watch the second panel discussion in this series from AAAI.

More than half of new articles on the internet are being written by AI

  31 Dec 2025
The line between human and machine authorship is blurring, particularly as it’s become increasingly difficult to tell whether something was written by a person or AI.
monthly digest

2025 digest of digests

  30 Dec 2025
We look back through the archives of our monthly digests to pick out some highlights from the year.
monthly digest

AIhub monthly digest: December 2025 – studying bias in AI-based recruitment tools, an image dataset for ethical AI benchmarking, and end of year com

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

Half of UK novelists believe AI is likely to replace their work entirely

  24 Dec 2025
A new report asks literary creatives about their views on generative AI tools and LLM-authored books.

RL without TD learning

  23 Dec 2025
This post introduces a reinforcement learning algorithm based on a divide and conquer paradigm.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence