From lesson-planning to long-haul trucking, good schedules make the world run—literally. In this episode, BABL AI CEO Dr. Shea Brown sits down with Leon Ingelse, writer-researcher at Croatian optimization studio Dots & Lines, to unpack the hidden math, ethics, and human stories behind modern scheduling and routing.

🔑 What we cover

Hard vs. soft constraints – why “can’t” and “prefer not to” need different math

Digital twins – building a virtual copy of a business before you touch the real one

Fairness & “karma” scheduling – balancing preferences over weeks, months, years

Transparency & compliance – explaining a timetable (and the laws baked into it)

Human-in-the-loop vs. full automation – when you still want a person pressing “publish”

Optimization ≠ LLMs – where stochastic AI falls short and formal models shine

The future of Dots & Lines and why bespoke solutions often beat off-the-shelf productsCheck out the babl.ai website for more stuff on AI Governance and

Responsible AI!

Ever wondered how to start a career in AI Governance, Responsible AI, or AI Risk Management? In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown is joined by COO Jeffery Recker and CSO Bryan Ilg for a no-nonsense, practical conversation about how to actually break in to this fast-growing, high-demand field.

🌟 What you'll learn in this episode

✅ What AI governance really is (and why it matters in every business using AI)

✅ The 3 main career paths into AI governance:

Dedicated governance roles

Expanding your current role to include AI oversight

Building something new as an entrepreneur/intrapreneur

✅ Do you need to be technical? How much?

✅ The real skills hiring managers want

✅ How to transition from zero experience to credible candidate

✅ Why governance is essential for scaling AI safely and responsibly

🧭 Key themes

Hands-on learning: You have to use AI to govern AI

Systems thinking: Understanding how decisions get made at scale

Risk awareness: The #1 thing employers want

Building your profile: Projects, credentials, volunteering, networking

Niche strategy: Why specializing beats general buzzwords

Marathon mindset: This is not a quick certification cash-inCheck out the babl.ai website for more stuff on AI Governance and

Responsible AI!

In this fun and thought-provoking episode of Lunchtime BABLing, BABL AI CEO and AI ethicist Dr. Shea Brown is joined by COO Jeffery Recker and CSO Bryan Ilg for a rapid-fire discussion on some of the most surprising, bizarre, and controversial uses of AI circulating online.

From jailbreaking legal loopholes with ChatGPT, to AI-generated testimony from the deceased, to digital therapy bots and AI relationships—no use case is off-limits. The trio explores the ethical, legal, and emotional implications of everyday AI encounters, reacting in real-time with humor, insight, and a healthy dose of skepticism.

🎧 Topics include:

Can AI help someone get out of jail?

Is it ethical to use AI-generated avatars in court?

Talking to an AI version of a dead loved one—grief or avoidance?

Should AI replace your therapist?

Professors using ChatGPT to grade student essays

AI as your relationship coach (or third wheel)

Confirmation bias and the future of learning in the AI age

💬 This episode steps away from regulation and compliance to explore how AI is quietly reshaping human behavior—and whether we’re ready for it.Check out the babl.ai website for more stuff on AI Governance and

Responsible AI!

In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown is joined by COO Jeffery Recker to break down ISO/IEC 42001 — the first international standard for AI management systems.

Whether you're leading an AI team, navigating AI risk, or just starting your Responsible AI journey, this high-level introduction will help you understand:

What ISO 42001 is and why it matters

How it fits into global AI governance (including the EU AI Act and U.S. regulations)

Key components of the standard — from leadership, risk assessments, and operations to monitoring and continual improvement

Common challenges organizations face when adopting it

Practical first steps for implementation, even for startups and resource-limited teams

💡 ISO 42001 is quickly becoming the North Star for organizations aiming to demonstrate trustworthy and responsible AI practices — especially in today’s fast-moving regulatory environment.Check out the babl.ai website for more stuff on AI Governance and

Responsible AI!

In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown unveils a powerful new framework to assess business value when implementing AI—shifting the conversation from “Which tool should I use?” to “What value do I want to create?”

Joined by CSO Bryan Ilg and COO Jeffery Recker, the trio dives into the origin, design, and real-world application of the AI VALUE Framework:

- Visualize your operations

- Ask the right questions

- Link to AI capabilities

- Understand feasibility & risk

- Experiment & evaluate

This episode is packed with insights for business leaders, innovation teams, and AI professionals navigating the hype, risk, and opportunity of artificial intelligence. The framework—originally developed for BABL AI’s upcoming certification for business professionals—is meant to reduce AI project failure and help organizations do it right, not fast.

💡 Key topics:

- The difference between asking about tools vs. asking about value

- Why most AI projects fail—and how to avoid it

- How AI governance can create value, not just mitigate risk

- The importance of metrics, pilot testing, and customer focus

- Why being proactive beats being reactive in AI implementationCheck out the babl.ai website for more stuff on AI Governance and

Responsible AI!

In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown sits down with BABL AI Chief Sales Officer Bryan Ilg to explore why AI governance is becoming critical for businesses of all sizes. Bryan shares insights from a recent speech he gave to a nonprofit in Richmond, Virginia, highlighting the real business value of strong AI governance practices — not just for ethical reasons, but as a competitive advantage.

They dive into key topics like the importance of early planning (with a great rocket ship analogy!), how AI governance ties into business success, practical steps organizations can take to get started, and why AI governance is not just about risk mitigation but about driving real business outcomes.

Shea and Bryan also discuss trends in AI governance roles, challenges organizations face, and BABL AI's new Foundations of AI Governance for Business Professionals certification program designed to equip non-technical leaders with essential AI governance skills.

If you're interested in responsible AI, business strategy, or understanding how to make AI work for your organization, this episode is packed with actionable insights!Check out the babl.ai website for more stuff on AI Governance and

Responsible AI!

In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown dives deep into one of the most pressing questions in AI governance today: how do we ensure the safety of Large Language Models (LLMs)?

With new regulations like the EU AI Act, Colorado’s AI law, and emerging state-level requirements in places like California and New York, organizations developing or deploying LLM-powered systems face increasing pressure to evaluate risk, ensure compliance, and document everything.

🎯 What you'll learn:

Why evaluations are essential for mitigating risk and supporting compliance

How to adopt a socio-technical mindset and think in terms of parameter spaces

What auditors (like BABL AI) look for when assessing LLM-powered systems

A practical, first-principles approach to building and documenting LLM test suites

How to connect risk assessments to specific LLM behaviors and evaluations

The importance of contextualizing evaluations to your use case—not just relying on generic benchmarks

Shea also introduces BABL AI’s CIDA framework (Context, Input, Decision, Action) and shows how it forms the foundation for meaningful risk analysis and test coverage.

Whether you're an AI developer, auditor, policymaker, or just trying to keep up with fast-moving AI regulations, this episode is packed with insights you can use right now.

📌 Don’t wait for a perfect standard to tell you what to do—learn how to build a solid, use-case-driven evaluation strategy today.Check out the babl.ai website for more stuff on AI Governance and

Responsible AI!

What does it really mean for AI to be explainable? Can we trust AI systems to tell us why they do what they do—and should the average person even care?

In this episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown is joined by regular guests Jeffery Recker and Bryan Ilg to unpack the messy world of AI explainability—and why it matters more than you might think.

From recommender systems to large language models, we explore: 🔍 The difference between explainability and interpretability

-Why even humans struggle to explain their decisions

-What should be considered a “good enough” explanation

-The importance of stakeholder context in defining "useful" explanations

-Why AI literacy and trust go hand-in-hand

-How concepts from cybersecurity, like zero trust, could inform responsible AI oversight

Plus, hear about the latest report from the Center for Security and Emerging Technology calling for stronger explainability standards, and what it means for AI developers, regulators, and everyday users.

Mentioned in this episode:

🔗 Link to BABL AI's Article: https://babl.ai/report-finds-gaps-in-ai-explainability-testing-calls-for-stronger-evaluation-standards/

🔗 Link to "Putting Explainable AI to the Test" paper: https://cset.georgetown.edu/publication/putting-explainable-ai-to-the-test-a-critical-look-at-ai-evaluation-approaches/?utm_source=ai-week-in-review.beehiiv.com&utm_medium=referral&utm_campaign=ai-week-in-review-3-8-25

🔗 Link to BABL AI's "The Algorithm Audit" paper: https://babl.ai/algorithm-auditing-framework/Check out the babl.ai website for more stuff on AI Governance and

Responsible AI!

In this thought-provoking episode of Lunchtime BABLing, BABL AI CEO Dr. Shea Brown sits down with Jeffery Recker and Bryan Ilg to unpack one of the most pressing topics of our time: AI’s impact on democracy. From algorithm-driven echo chambers and misinformation to the role of social media in shaping political discourse, the trio explores how AI is quietly—and sometimes loudly—reshaping our democratic systems.

- What happens when personalized content becomes political propaganda?

- Is YouTube the new social media without us realizing it?

- Can regulations keep up with AI’s accelerating influence?

- And are we already too far gone—or is there still time to rethink, regulate, and reclaim our democratic integrity?

This episode dives into:

- The unintended consequences of algorithmic curation

- The collapse of objective reality in the digital age

- AI-driven misinformation in elections

- The tension between regulation and free speech

- Global responses—from Finland’s education system to the EU AI Act

- What society can (and should) do to fight back

Whether you’re in tech, policy, or just trying to make sense of the chaos online, this is a conversation you won’t want to miss.

🔗 Jeffery’s free course, Intro to the EU AI Act, is available now! Get your Credly badge and learn how to start your compliance journey → https://babl.ai/introduction-to-the-eu-ai-act/Check out the babl.ai website for more stuff on AI Governance and

Responsible AI!

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". Check out the babl.ai website for more stuff on AI Governance and

Responsible AI!