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.
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 products
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.
