Presented by Babl AI, this podcast discusses all issues related to algorithmic bias, algorithmic auditing, algorithmic governance, and the ethics of artificial intelligence and autonomous systems.
Lunchtime BABLing with Dr. Shea Brown
Claim This Podcastby Babl AI, Jeffery Recker, Shea Brown
5.0(1 reviews)
73 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇺🇸
64
Podcast Authority
BetaGoodBased on show quality, social media presence, reviews, charts, and more
Quality83
Social0
YouTube85
Engagement27
Podcast Overview
Presented by Babl AI, this podcast discusses all issues related to algorithmic bias, algorithmic auditing, algorithmic governance, and the ethics of artificial intelligence and autonomous systems.
Language
🇺🇲
Publishing Since
9/10/2022
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64
Podcast Authority
BetaGoodBased on show quality, social media presence, reviews, charts, and more
Quality83
Social0
YouTube85
Engagement27
9
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1
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9
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excellent
Episode Length
37 minutes
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iTunes Tags
7.2/10
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Recent Episodes
March 23, 2026
Model Drift to Bias and Discrimination: The Many Risks of AI: Part 2
Dr. Shea Brown, CEO of BABL AI, and Jeffery Recker explore AI risks like model drift, bias, and discrimination, offering insights into managing complex AI systems.
March 9, 2026
Data Poisoning to Hallucinations: The Many Risks of AI Part 1
Dr. Shea Brown, CEO of BABL AI, interviews Jeffery Recker about AI risks like data poisoning and hallucinations, offering insights for responsible enterprise AI deployment.
February 23, 2026
AI Test, Evaluation, & Red Teaming Specialist Bootcamp
In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown introduces the new AI Test, Evaluation, & Red Teaming Specialist Bootcamp—a hands-on, technical program designed to train the next generation of AI assurance professionals. Drawing directly from BABL AI’s internal methodologies used to audit and evaluate high-risk AI systems across industries, this bootcamp addresses one of the most critical gaps in the AI ecosystem: the lack of practical training in how to design, execute, and interpret rigorous AI testing and red teaming in real-world contexts. Dr. Brown explains: -Why AI testing, evaluation, and red teaming are essential for high-risk AI systems -How BABL AI developed its internal, risk-driven testing and assurance frameworks -The difference between auditing AI systems and directly evaluating and validating them -What participants will learn during the five-week, hands-on bootcamp -The prerequisites, structure, and technical depth of the program -How this bootcamp will evolve into BABL’s new AI Test, Evaluation, & Red Teaming Specialist Certification -This exclusive early adopter cohort is limited to approximately 30 participants and is designed for professionals with foundational knowledge in AI auditing, governance, or assurance who want to develop practical technical capabilities in AI evaluation and red teaming. -Participants will learn how to move systematically from an AI use case to defensible test results—building real test plans, executing evaluations, and developing assurance-relevant conclusions using BABL’s proven frameworks. Take the test to see if you are a good candidate for the AI Test, Evaluation, & Red Teaming Specialist Bootcamp: https://zfrmz.eu/RBroC4VLZ9I41ihKl1XV Learn more about BABL AI Certifications: www.babl.ai About Lunchtime BABLing: Lunchtime BABLing is hosted by Dr. Shea Brown, CEO of BABL AI, an independent AI assurance firm that audits algorithms for bias, risk, and governance. The podcast explores AI auditing, governance, regulation, and technical assurance practices shaping the future of trustworthy AI.
73 total episodes available with 9 transcripts
Recent guests on Lunchtime BABLing with Dr. Shea Brown
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Jeffery Recker
Guest
Emily Brown
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Leon Ingelse
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Bryan Ilg
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Soribel Feliz
Guest
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Frequently asked questions
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- What is Lunchtime BABLing with Dr. Shea Brown?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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Yes, this podcast regularly features guests.
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