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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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.
In this latest episode of Lunchtime BABLing, hosted by BABL AI CEO Dr. Shea Brown with COO Jeffery Recker and—making her first appearance—Chief of Staff Emily Brown, we dig into what today’s AI-shaped job market really means for knowledge workers, how to build durable skills, and why “human in the loop” still matters—especially in marketing, ops, and hiring.
🎧 What you’ll learn
Why AI anxiety is spiking—and how to respond with deliberate upskilling
The #1 meta-skill: building a strong filter (concise, expert-informed outputs > AI slop)
How AI literacy translates to any role (marketing, people ops, compliance, product)
Practical ways to pivot toward Responsible AI / AI assurance / AI auditing
Why specialization beats chasing every trend (go narrow, go deep, then pivot)
The value of community: mentorship, peer feedback, and portfolio/capstone work
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.
