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Lunchtime BABLing with Dr. Shea Brown
Babl AI, Jeffery Recker, Shea Brown
67 episodes
12 hours ago
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.
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Technology
Education,
Business,
Management
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All content for Lunchtime BABLing with Dr. Shea Brown is the property of Babl AI, Jeffery Recker, Shea Brown and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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.
Show more...
Technology
Education,
Business,
Management
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AI Literacy
Lunchtime BABLing with Dr. Shea Brown
20 minutes 55 seconds
7 months ago
AI Literacy
In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown is joined by Jeffery Recker and Bryan Ilg to discuss the growing importance of AI literacy—what it means, why it matters, and how individuals and businesses can stay ahead in an AI-driven world. Topics covered: The evolution of AI education and BABL AI’s new subscription model for training & certifications. Why AI auditing skills are becoming essential for professionals across industries. How AI governance roles will shape the future of business leadership. The impact of AI on workforce transition and how individuals can future-proof their careers. The EU AI Act’s new AI literacy requirements—what they mean for organizations. Want to level up your AI knowledge? Check out BABL AI’s courses & certifications! 🚀 Subscribe to our courses: https://courses.babl.ai/p/the-algorithmic-bias-lab-membership 👉 Lunchtime BABLing listeners can save 20% on all BABL AI online courses using coupon code "BABLING20".
Lunchtime BABLing with Dr. Shea Brown
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.